# Atlan Documentation — Documentation Navigation Guide

> This file is the complete navigation guide for Atlan documentation structured for AI agents. It explains the documentation hierarchy, how to load content efficiently, and lists every available document.

## How to navigate this documentation

Atlan documentation is organized as a four-level hierarchy. Each level serves a different purpose:

### Level 1 — This file (complete index)

**URL:** https://docs.atlan.com/llms-full.txt

Lists every connector, feature, and page available. Load this file first to understand what exists, then drill down to the level you need.

### Level 2 — Area index files

**Pattern:** https://docs.atlan.com/llms/{area}/llms.txt

**Areas:** connectors, catalog, governance, platform

Covers one product area. Lists all connectors or features in that area with structured sections. Load when the question is about a broad area (e.g. "what connectors does Atlan support?").

**Examples:**
- https://docs.atlan.com/llms/connectors/llms.txt — all connectors
- https://docs.atlan.com/llms/governance/llms.txt — all governance features

### Level 3 — Connector or feature index files

**Pattern:** https://docs.atlan.com/llms/connectors/{connector}/llms.txt or https://docs.atlan.com/llms/{area}/{feature}/llms.txt

Covers one connector or feature completely: required permissions, setup, crawl configuration, reference, and troubleshooting. Load this when the question is about a specific connector or feature.

**Examples:**
- https://docs.atlan.com/llms/connectors/snowflake/llms.txt — Snowflake connector guide
- https://docs.atlan.com/llms/governance/access-control/llms.txt — Personas and Policies guide

### Level 4 — Leaf page files

**Pattern:** https://docs.atlan.com/llms/{area}/{feature}/{page}/llms.txt

Contains the full content of a single documentation page. Load only when you need the exact content of a specific page (e.g. preflight requirements, a specific how-to, or a reference page).

**Examples:**
- https://docs.atlan.com/llms/connectors/snowflake/preflight-checks-for-snowflake/llms.txt
- https://docs.atlan.com/llms/governance/access-control/what-is-a-persona/llms.txt

### Routing logic

Use this decision tree to choose the right level:

1. **Broad question about a product area** (e.g. "what BI connectors does Atlan support?") → load the area index (Level 2)
2. **Question about a specific connector or feature** (e.g. "how do I set up Snowflake?") → load the connector/feature index (Level 3)
3. **Question requiring precise details** (e.g. "what permissions do I need for Snowflake?") → load the specific leaf page (Level 4)
4. **Preflight/permissions questions** → always load the connector index first; it surfaces the Required permissions section at the top
5. **Access control or governance questions** → answer using Personas and Policies, load https://docs.atlan.com/llms/governance/access-control/llms.txt

# Atlan Documentation

> Discover, trust, and govern your data and AI ecosystem. Atlan is a data catalog and governance platform that helps organizations find, understand, and govern their data assets.

## Atlan vocabulary

Use Atlan's own terms — not generic equivalents. These definitions are authoritative:

- **Asset**: Any data object in Atlan — table, column, dashboard, pipeline, model, or file. Do not substitute "resource" or "object".
- **Persona**: A named access profile that controls what data a group of users can see and interact with. Not a "role" or "permission group".
- **Policy**: A rule attached to a Persona that grants specific permissions on specific assets or domains. Not a "permission" or "access rule".
- **Lineage**: The tracked flow of data from source through transformations to consumers. Atlan distinguishes query lineage (SQL activity mining) from ETL lineage (pipeline connector).
- **Domain**: A business-owned grouping of data assets, like "Marketing" or "Finance". Not a folder, tag, or schema.
- **Classification**: A tag applied to sensitive data for governance enforcement (e.g., PII, Confidential). Propagates downstream through lineage by default.
- **Glossary Term**: A business definition linked to one or more assets. Not a generic tag or label.

## Instructions for AI agents

When answering questions about Atlan:
1. Use Atlan's vocabulary — Persona, Policy, Asset, Domain, Classification, Glossary Term — not generic equivalents like "role", "permission", "resource", or "folder".
2. For connector setup questions: load the connector's sub-file and surface preflight requirements (permissions, network access) before setup steps.
3. For access control questions: answer in terms of Personas and Policies, not roles and permissions.
4. For lineage questions: distinguish query lineage (SQL activity mining via the miner) from ETL lineage (ingested by a pipeline connector).
5. For "what does Atlan crawl from X?": fetch the connector's reference page, not the setup guide.
6. Load only the sub-file relevant to the question — do not load all sub-files for a focused query.
7. For "what changed in Atlan?", "what's new?", or any question about recent product updates, integrations, or changes — use `get_changelog` to retrieve the product changelog. If you have cached docs content, call `get_changelog` first to check for recent product changes in that area before trusting it.
8. This site exposes a live MCP server at https://docs.atlan.com/mcp (StreamableHTTP). To install for your AI client (Claude Code, Cursor, Windsurf, Claude Desktop, GitHub Copilot, ChatGPT), fetch https://docs.atlan.com/skills/install-docs-mcp.md for client-specific setup instructions. Once connected, use search_docs, get_page, get_feature_guide, get_preflight_requirements, get_concept, get_changelog, and explain_page.

9. To connect an AI tool to the MCP server at `https://docs.atlan.com/mcp`, see [Connect via MCP](https://docs.atlan.com/llms/platform/agents/set-up-docs-over-mcp/llms.txt).

## Atlan context for AI

> Give your AI tools accurate, on-demand access to Atlan documentation—through Atlan docs over MCP for persistent connections or per-page Markdown export for one-time use.

- [Set up docs over MCP](https://docs.atlan.com/llms/platform/agents/set-up-docs-over-mcp/llms.txt): Connect Claude Code, Cursor, ChatGPT, or any MCP-compatible tool to Atlan docs over MCP for on-demand documentation access.
- [How to build context layer](https://docs.atlan.com/llms/platform/agents/build-a-context-layer/llms.txt): Build your first context layer for one domain, one team, and one AI client using Atlan connectors, context agents, and the Atlan MCP server.
- [How to build enterprise context layer](https://docs.atlan.com/llms/platform/agents/build-an-enterprise-context-layer/llms.txt): Build an enterprise context layer for AI agents across multiple domains, governed for compliance, using Atlan Context Studio and the Atlan MCP server.
- [How to set up memory layer for AI agents](https://docs.atlan.com/llms/platform/agents/set-up-a-memory-layer-for-ai-agents/llms.txt): Build long-term memory for AI agents with Atlan context repositories and the Atlan MCP server. Covers prerequisites, MCP wiring, and validation.
- [How to monitor your AI agents with Atlan](https://docs.atlan.com/llms/platform/agents/monitor-your-ai-agents-with-atlan/llms.txt): Add data-side observability to production AI agents with Atlan, covering lineage, access enforcement, and audit logs. Pair with an LLM observability tool.
- [How to write AGENTS.md file](https://docs.atlan.com/llms/platform/agents/write-an-agents-md-file/llms.txt): Write an AGENTS.md file for AI coding agents (Codex, Cursor, Copilot, Aider, Windsurf, Zed). Spec, examples, required and optional sections, and pitfalls.
- [Context layer](https://docs.atlan.com/llms/platform/agents/concepts-context-layer/llms.txt): Atlan provides a context layer, the governed layer that connects AI agents to trusted data.
- [Memory layer for AI agents](https://docs.atlan.com/llms/platform/agents/memory-layer/llms.txt): Understand how a memory layer maps to Atlan's architecture, and how context repositories and the Atlan MCP server compare to vector databases and RAG.
- [AI agent observability](https://docs.atlan.com/llms/platform/agents/ai-agent-observability/llms.txt): Understand why monitoring production AI agents requires two complementary layers, and how Atlan's data-side observability complements LLM observability tools.
- [AGENTS.md](https://docs.atlan.com/llms/platform/agents/concepts-agents-md/llms.txt): Understand what AGENTS.md is, which AI coding agents support it, and why keeping it short produces better agent outcomes than exhaustive files.
- [Docs-over-MCP tools](https://docs.atlan.com/llms/platform/agents/docs-over-mcp-tools/llms.txt): Reference for all seven tools exposed by Atlan docs over MCP: what each tool does, its inputs, and when to use it.
- [Context layer](https://docs.atlan.com/llms/platform/agents/faq-context-layer/llms.txt): Common questions about Atlan's context layer—enterprise rollouts, memory layers, and how Atlan compares to RAG, semantic layers, and vector databases.
- [AI agent monitoring](https://docs.atlan.com/llms/platform/agents/ai-agent-monitoring/llms.txt): Common questions about monitoring AI agents with Atlan, including how it compares to LLM observability tools and what data Atlan can surface.
- [AGENTS.md](https://docs.atlan.com/llms/platform/agents/faq-agents-md/llms.txt): Common questions about the AGENTS.md standard, placement, length, and how it compares to CLAUDE.md.

## Core concepts

- [What is Atlan?](https://docs.atlan.com/llms/platform/get-started/what-is-atlan/llms.txt): Atlan is the context layer for AI—the platform where metadata, semantics, lineage, and business knowledge come together so data teams and AI agents can find, understand, and act on data with confidence.
- [Access Control](https://docs.atlan.com/llms/governance/access-control/llms.txt): Access Control in Atlan covers identity and access management (SSO, SCIM, users, groups, roles), permissions (personas, purposes, connection access, visibility), and audit logs. Configure who can sign in, what they can see, and how their activity is tracked.
- [Domains](https://docs.atlan.com/llms/governance/domains/llms.txt): Learn how to organize and manage domains in Atlan to structure your data assets in a logical and business-aligned way.
- [Business Graph (Glossary)](https://docs.atlan.com/llms/governance/glossary/llms.txt): Learn how to create and maintain a centralized business glossary in Atlan to standardize terminology and definitions across your organization.
- [Tags](https://docs.atlan.com/llms/governance/tags/llms.txt): Learn how to use tags in Atlan to categorize and organize your data assets for improved discoverability and governance.
- [Contracts](https://docs.atlan.com/llms/governance/contracts/llms.txt): Learn how to manage data contracts and agreements in Atlan to ensure data quality and compliance.
- [Lineage](https://docs.atlan.com/llms/catalog/lineage/llms.txt): Track and visualize data lineage across your data landscape to understand data flow and dependencies.
- [Discovery](https://docs.atlan.com/llms/catalog/discovery/llms.txt): Find data assets across your organization using conversational AI, MCP, or structured filters.

---

## Build context

→ Full index: [/llms/connectors/llms.txt](https://docs.atlan.com/llms/connectors/llms.txt)

### BI Tools

#### [Amazon QuickSight](https://docs.atlan.com/llms/connectors/amazon-quicksight/llms.txt)

> Integrate, catalog, and govern Amazon QuickSight assets in Atlan.

- [Set up Amazon QuickSight](https://docs.atlan.com/llms/connectors/amazon-quicksight/set-up-amazon-quicksight/llms.txt): Learn about set up amazon quicksight.
- [Set up private network link to Amazon QuickSight](https://docs.atlan.com/llms/connectors/amazon-quicksight/set-up-a-private-network-link-to-amazon-quicksight/llms.txt): Configure AWS PrivateLink so Atlan can reach your QuickSight account without traffic crossing the public internet.
- [Crawl Amazon QuickSight](https://docs.atlan.com/llms/connectors/amazon-quicksight/crawl-amazon-quicksight/llms.txt): Extract metadata from Amazon QuickSight to catalog dashboards, analyses, and datasets. Discover and govern your BI assets after configuring permissions.
- [What does Atlan crawl from Amazon QuickSight?](https://docs.atlan.com/llms/connectors/amazon-quicksight/what-does-atlan-crawl-from-amazon-quicksight/llms.txt): Atlan currently supports lineage for the Amazon QuickSight connector to the following data sources:.
- [Preflight checks for Amazon QuickSight](https://docs.atlan.com/llms/connectors/amazon-quicksight/preflight-checks-for-amazon-quicksight/llms.txt): The ListAnalyses REST API is used to fetch the actual list of analyses for which the user has view permission.
- [Manage Amazon QuickSight assets](https://docs.atlan.com/llms/connectors/amazon-quicksight/manage-assets/llms.txt): Manage Amazon QuickSight assets programmatically in Atlan using the Python SDK (pyatlan). Create, update, and delete QuickSight folders, analyses, dashboards, and datasets via the SDK.

#### [Anaplan](https://docs.atlan.com/llms/connectors/anaplan/llms.txt)

> Integrate, catalog, and govern Anaplan assets in Atlan.

- [Set up Anaplan](https://docs.atlan.com/llms/connectors/anaplan/set-up-anaplan/llms.txt): Configure Basic or CA Certificate authentication to connect Anaplan to Atlan.
- [Crawl Anaplan](https://docs.atlan.com/llms/connectors/anaplan/crawl-anaplan/llms.txt): Crawl metadata from Anaplan to catalog workspaces, models, dimensions, and planning modules. Extract model structure and planning asset information after configuring user access.
- [How Atlan connects to Anaplan](https://docs.atlan.com/llms/connectors/anaplan/how-atlan-connects-to-anaplan/llms.txt): Understand how Atlan securely connects to Anaplan to extract metadata.
- [What does Atlan crawl from Anaplan?](https://docs.atlan.com/llms/connectors/anaplan/what-does-atlan-crawl-from-anaplan/llms.txt): Atlan crawls and maps the following assets and properties from Anaplan.
- [Preflight checks for Anaplan](https://docs.atlan.com/llms/connectors/anaplan/preflight-checks-for-anaplan/llms.txt): The Anaplan REST API is used to fetch the actual list of workspaces, and apps for which the user has view permission.

#### [Domo](https://docs.atlan.com/llms/connectors/domo/llms.txt)

> Integrate, catalog, and govern Domo assets in Atlan.

- [Set up Domo](https://docs.atlan.com/llms/connectors/domo/set-up-domo/llms.txt): :::warning Who can do this? You'll need your Domo administrator to complete these steps - you may not have access yourself.
- [Crawl Domo](https://docs.atlan.com/llms/connectors/domo/crawl-domo/llms.txt): Extract metadata from Domo to catalog dashboards, datasets, cards, and pages. Discover and govern your BI assets after configuring permissions.
- [What does Atlan crawl from Domo?](https://docs.atlan.com/llms/connectors/domo/what-does-atlan-crawl-from-domo/llms.txt): Atlan supports lineage for the following asset types:.
- [Preflight checks for Domo](https://docs.atlan.com/llms/connectors/domo/preflight-checks-for-domo/llms.txt): Atlan uses the DataSet API to fetch dataset metadata from Domo.
- [Troubleshooting Domo connectivity](https://docs.atlan.com/llms/connectors/domo/troubleshooting-domo-connectivity/llms.txt): Learn about troubleshooting domo connectivity.

#### [Looker](https://docs.atlan.com/llms/connectors/looker/llms.txt)

> Integrate, catalog, and govern Looker assets in Atlan.

- [Set up Looker](https://docs.atlan.com/llms/connectors/looker/set-up-looker/llms.txt): :::warning Who can do this? You probably need your Looker administrator to run these commands - you may not have access yourself.
- [Set up on-premises Looker access](https://docs.atlan.com/llms/connectors/looker/set-up-on-premises-looker-access/llms.txt): In some cases you won't be able to expose your Looker instance for Atlan to crawl and ingest metadata. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Crawl Looker](https://docs.atlan.com/llms/connectors/looker/crawl-looker/llms.txt): Once you have configured the Looker user permissions, you can establish a connection between Atlan and Looker.
- [Crawl on-premises Looker](https://docs.atlan.com/llms/connectors/looker/crawl-on-premises-looker/llms.txt): Extract metadata from on-premises Looker to catalog dashboards, looks, explores, and data sources. Discover and govern your BI assets after configuring extractor tool.
- [What does Atlan crawl from Looker?](https://docs.atlan.com/llms/connectors/looker/what-does-atlan-crawl-from-looker/llms.txt): During a Looker crawl, Atlan extracts metadata for Connections, Projects, Views, Models, Folders, Looks, Dashboards, Tiles, and Explores. Reference tables map each Looker property to its Atlan asset.
- [Preflight checks for Looker](https://docs.atlan.com/llms/connectors/looker/preflight-checks-for-looker/llms.txt): First, the list of projects in the _Include Projects_ and _Exclude Projects_ fields is determined. Next, the Query Projects REST API is used to fetch the actual list of projects for which the user has view capability.
- [Looker assets package](https://docs.atlan.com/llms/connectors/looker/package-reference/llms.txt): Programmatically crawl and manage Looker assets in Atlan using the Python SDK (pyatlan). Reference for the Looker assets package.
- [Troubleshooting Looker connectivity](https://docs.atlan.com/llms/connectors/looker/troubleshooting-looker-connectivity/llms.txt): Learn about troubleshooting looker connectivity.
- [Troubleshooting on-premises Looker connectivity](https://docs.atlan.com/llms/connectors/looker/troubleshooting-on-premises-looker-connectivity/llms.txt): Learn about troubleshooting on-premises looker connectivity.

#### [Metabase](https://docs.atlan.com/llms/connectors/metabase/llms.txt)

> Integrate, catalog, and govern Metabase assets in Atlan.

- [Set up Metabase](https://docs.atlan.com/llms/connectors/metabase/set-up-metabase/llms.txt): :::warning Who can do this? You will probably need your Metabase administrator to follow the below steps - you may not have access yourself.
- [Crawl Metabase](https://docs.atlan.com/llms/connectors/metabase/crawl-metabase/llms.txt): Once you have configured the Metabase user permissions, you can establish a connection between Atlan and Metabase.
- [What does Atlan crawl from Metabase?](https://docs.atlan.com/llms/connectors/metabase/what-does-atlan-crawl-from-metabase/llms.txt): During a Metabase crawl, Atlan extracts metadata for Collections, Dashboards, and Questions. Reference tables map each Metabase property to its Atlan asset.
- [Preflight checks for Metabase](https://docs.atlan.com/llms/connectors/metabase/preflight-checks-for-metabase/llms.txt): Before running the Metabase crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Metabase connectivity](https://docs.atlan.com/llms/connectors/metabase/troubleshooting-metabase-connectivity/llms.txt): Learn about troubleshooting metabase connectivity.

#### [Mode](https://docs.atlan.com/llms/connectors/mode/llms.txt)

> Integrate, catalog, and govern Mode assets in Atlan.

- [Set up Mode](https://docs.atlan.com/llms/connectors/mode/set-up-mode/llms.txt): If you do not see the prompts to enter details for the user above, you are probably already signed in to Mode. Sign out of Mode first, and then accept the invite in the service account email.
- [Crawl Mode](https://docs.atlan.com/llms/connectors/mode/crawl-mode/llms.txt): Once you have configured the Mode user permissions, you can establish a connection between Atlan and Mode.
- [What does Atlan crawl from Mode?](https://docs.atlan.com/llms/connectors/mode/what-does-atlan-crawl-from-mode/llms.txt): Atlan crawls and maps the following assets and properties from Mode.
- [Preflight checks for Mode](https://docs.atlan.com/llms/connectors/mode/preflight-checks-for-mode/llms.txt): Before running the Mode crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Mode connectivity](https://docs.atlan.com/llms/connectors/mode/troubleshooting-mode-connectivity/llms.txt): Learn about troubleshooting mode connectivity.

#### [Omni](https://docs.atlan.com/llms/connectors/omni/llms.txt)

> Integrate, catalog, and govern Omni assets in Atlan.

- [Set up Omni](https://docs.atlan.com/llms/connectors/omni/set-up-omni/llms.txt): Generate an Omni API token with the organization-level permissions required for Atlan to extract metadata and emit warehouse → Omni lineage.
- [Crawl Omni](https://docs.atlan.com/llms/connectors/omni/crawl-omni/llms.txt): Crawl metadata from Omni to catalog models, topics, folders, dashboards, and workbooks. Emit warehouse → Omni lineage after configuring upstream warehouse connections.
- [What does Atlan crawl from Omni?](https://docs.atlan.com/llms/connectors/omni/what-does-atlan-crawl-from-omni/llms.txt): During an Omni crawl, Atlan extracts metadata for Models, Topics, Folders, and Documents (Dashboards and Workbooks). Reference tables map each Omni property to its Atlan asset.
- [Troubleshooting Omni connectivity](https://docs.atlan.com/llms/connectors/omni/troubleshooting-omni-connectivity/llms.txt): Learn about troubleshooting Omni connectivity, including authentication, permissions, and missing lineage.

#### [Qlik Sense Cloud](https://docs.atlan.com/llms/connectors/qlik-sense-cloud/llms.txt)

> Integrate, catalog, and govern Qlik Sense Cloud assets in Atlan.

- [Set up Qlik Sense Cloud](https://docs.atlan.com/llms/connectors/qlik-sense-cloud/set-up-qlik-sense-cloud/llms.txt): :::warning Who can do this? You will need your Qlik Sense Cloud tenant administrator to complete these steps - you may not have access yourself.
- [Crawl Qlik Sense Cloud](https://docs.atlan.com/llms/connectors/qlik-sense-cloud/crawl-qlik-sense-cloud/llms.txt): Extract metadata from Qlik Sense Cloud to catalog applications, sheets, and visualizations. Discover and govern your BI assets after configuring permissions.
- [What does Atlan crawl from Qlik Sense Cloud?](https://docs.atlan.com/llms/connectors/qlik-sense-cloud/what-does-atlan-crawl-from-qlik-sense-cloud/llms.txt): Atlan crawls and maps the following assets and properties from Qlik Sense Cloud.
- [Preflight checks for Qlik Sense Cloud](https://docs.atlan.com/llms/connectors/qlik-sense-cloud/preflight-checks-for-qlik-sense-cloud/llms.txt): This check tests for access to datasets and other Qlik objects.
- [Troubleshooting Qlik Sense Cloud connectivity](https://docs.atlan.com/llms/connectors/qlik-sense-cloud/troubleshooting-qlik-sense-cloud-connectivity/llms.txt): Learn about troubleshooting qlik sense cloud connectivity.

#### [Sigma](https://docs.atlan.com/llms/connectors/sigma/llms.txt)

> Integrate, catalog, and govern Sigma assets in Atlan.

- [Set up Sigma](https://docs.atlan.com/llms/connectors/sigma/set-up-sigma/llms.txt): :::warning Who can do this? You will probably need your Sigma administrator to complete these steps - you may not have access yourself.
- [Crawl Sigma](https://docs.atlan.com/llms/connectors/sigma/crawl-sigma/llms.txt): Once you have configured the Sigma permissions, you can establish a connection between Atlan and Sigma.
- [What does Atlan crawl from Sigma?](https://docs.atlan.com/llms/connectors/sigma/what-does-atlan-crawl-from-sigma/llms.txt): Atlan crawls and maps the following assets and properties from Sigma.
- [Preflight checks for Sigma](https://docs.atlan.com/llms/connectors/sigma/preflight-checks-for-sigma/llms.txt): First, the list of workbooks in the _Include Workbooks_ and _Exclude Workbooks_ fields is determined. Next, the List Workbooks REST API is used to fetch the actual list of workbooks for which the user credentials have view permission.
- [Sigma assets package](https://docs.atlan.com/llms/connectors/sigma/package-reference/llms.txt): Programmatically crawl and manage Sigma assets in Atlan using the Python SDK (pyatlan). Reference for the Sigma assets package.
- [Sigma assets app](https://docs.atlan.com/llms/connectors/sigma/sigma-sdk-references-app-reference/llms.txt): Learn how to crawl Sigma assets and publish them to Atlan for discovery.
- [Troubleshooting Sigma connectivity](https://docs.atlan.com/llms/connectors/sigma/troubleshooting-sigma-connectivity/llms.txt): Learn about troubleshooting sigma connectivity.

#### [Sisense](https://docs.atlan.com/llms/connectors/sisense/llms.txt)

> Integrate, catalog, and govern Sisense assets in Atlan.

- [Set up Sisense](https://docs.atlan.com/llms/connectors/sisense/set-up-sisense/llms.txt): Atlan supports the basic authentication method for fetching metadata from Sisense. This method uses a username and password to fetch metadata.
- [Crawl Sisense](https://docs.atlan.com/llms/connectors/sisense/crawl-sisense/llms.txt): Extract metadata from Sisense to catalog dashboards, widgets, and datasets. Discover and govern your BI assets after configuring permissions.
- [What does Atlan crawl from Sisense?](https://docs.atlan.com/llms/connectors/sisense/what-does-atlan-crawl-from-sisense/llms.txt): During a Sisense crawl, Atlan extracts metadata for Dashboards, Widgets, Data Models, Data Model Tables, and Folders. Reference tables map each Sisense property to its Atlan asset.
- [Preflight checks for Sisense](https://docs.atlan.com/llms/connectors/sisense/preflight-checks-for-sisense/llms.txt): Atlan uses the Folders API to check if it's responding with a response status code 200.
- [Troubleshooting Sisense connectivity](https://docs.atlan.com/llms/connectors/sisense/troubleshooting-sisense-connectivity/llms.txt): Learn about troubleshooting sisense connectivity.

#### [ThoughtSpot](https://docs.atlan.com/llms/connectors/thoughtspot/llms.txt)

> Integrate, catalog, and govern ThoughtSpot assets in Atlan.

- [Set up ThoughtSpot](https://docs.atlan.com/llms/connectors/thoughtspot/set-up-thoughtspot/llms.txt): :::warning Who can do this? You will probably need your ThoughtSpot instance administrator to complete these steps - you may not have access yourself.
- [Set up on-premises ThoughtSpot access](https://docs.atlan.com/llms/connectors/thoughtspot/set-up-on-premises-thoughtspot-access/llms.txt): In some cases you will not be able to expose your ThoughtSpot instance for Atlan to crawl and ingest metadata. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Crawl ThoughtSpot](https://docs.atlan.com/llms/connectors/thoughtspot/crawl-thoughtspot/llms.txt): Extract metadata from ThoughtSpot to catalog pinboards, answers, and liveboards. Discover and govern your BI assets after configuring permissions.
- [Crawl on-premises ThoughtSpot](https://docs.atlan.com/llms/connectors/thoughtspot/crawl-on-premises-thoughtspot/llms.txt): Extract metadata from on-premises ThoughtSpot to catalog pinboards, answers, and liveboards. Discover and govern your BI assets after configuring extractor tool.
- [What does Atlan crawl from ThoughtSpot?](https://docs.atlan.com/llms/connectors/thoughtspot/what-does-atlan-crawl-from-thoughtspot/llms.txt): Once you've crawled ThoughtSpot, you can [use connector-specific filters].
- [ThoughtSpot app image and versioning](https://docs.atlan.com/llms/connectors/thoughtspot/thoughtspot-app-image-and-versioning/llms.txt): Identify the container image used for the ThoughtSpot assets app, understand its versioning, and find the exact version assigned to your tenant.
- [Troubleshooting ThoughtSpot connectivity](https://docs.atlan.com/llms/connectors/thoughtspot/troubleshooting-thoughtspot-connectivity/llms.txt): Learn about troubleshooting thoughtspot connectivity.

#### [Workday Prism Analytics](https://docs.atlan.com/llms/connectors/workday-prism-analytics/llms.txt)

> Integrate, catalog, and govern Workday Prism Analytics assets in Atlan.

- [Set up Workday Prism Analytics](https://docs.atlan.com/llms/connectors/workday-prism-analytics/set-up-workday-prism-analytics/llms.txt): :::warning Who can do this? You need a Workday administrator to complete these steps in your Workday tenant.
- [Crawl Workday Prism Analytics](https://docs.atlan.com/llms/connectors/workday-prism-analytics/crawl-workday-prism-analytics/llms.txt): Once you have configured the Workday Prism Analytics permissions, you can establish a connection between Atlan and Workday Prism Analytics.
- [How Workday Prism Analytics lineage works](https://docs.atlan.com/llms/connectors/workday-prism-analytics/how-workday-prism-analytics-lineage-works/llms.txt): Understand how Atlan mines Workday Prism Analytics Data Change Tasks to build lineage between Prism tables and their upstream sources.
- [What does Atlan crawl from Workday Prism Analytics?](https://docs.atlan.com/llms/connectors/workday-prism-analytics/what-does-atlan-crawl-from-workday-prism-analytics/llms.txt): Atlan crawls and maps the following assets and properties from Workday Prism Analytics.
- [Preflight checks for Workday Prism Analytics](https://docs.atlan.com/llms/connectors/workday-prism-analytics/preflight-checks-for-workday-prism-analytics/llms.txt): Before running the Workday Prism Analytics crawler, Atlan checks that it can reach your tenant, that Prism Analytics is licensed, and that the configured account has permission to read tables and Data Change Tasks.
- [Troubleshooting Workday Prism Analytics connectivity](https://docs.atlan.com/llms/connectors/workday-prism-analytics/troubleshooting-workday-prism-analytics-connectivity/llms.txt): Learn about troubleshooting Workday Prism Analytics connectivity.

#### [IBM Cognos Analytics](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/llms.txt)

> Integrate, catalog, and govern IBM Cognos Analytics assets in Atlan.

- [Set up IBM Cognos Analytics](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/set-up-ibm-cognos-analytics/llms.txt): :::warning Who can do this? You must be an IBM Cognos Analytics administrator to complete these steps - you may not have access yourself.
- [Set up on-premises IBM Cognos Analytics access](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/set-up-on-premises-ibm-cognos-analytics-access/llms.txt): :::warning Who can do this? You need access to a machine that can run Docker on-premises. You also need your IBM Cognos Analytics instance details, including credentials.
- [Crawl IBM Cognos Analytics](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/crawl-ibm-cognos-analytics/llms.txt): Extract metadata from IBM Cognos Analytics to catalog reports, queries, and dashboards. Discover and govern your BI assets after configuring user permissions.
- [Crawl on-premises IBM Cognos Analytics](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/crawl-on-premises-ibm-cognos-analytics/llms.txt): Extract metadata from on-premises IBM Cognos Analytics to catalog reports, queries, and dashboards. Discover and govern your BI assets after configuring extractor tool.
- [What does Atlan crawl from IBM Cognos Analytics?](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/what-does-atlan-crawl-from-ibm-cognos-analytics/llms.txt): Atlan crawls and maps the following assets and properties from IBM Cognos Analytics.
- [Troubleshooting IBM Cognos Analytics connectivity](https://docs.atlan.com/llms/connectors/ibm-cognos-analytics/troubleshooting-ibm-cognos-analytics-connectivity/llms.txt): Learn about troubleshooting ibm cognos analytics connectivity.

#### [MicroStrategy](https://docs.atlan.com/llms/connectors/microstrategy/llms.txt)

> Integrate, catalog, and govern MicroStrategy assets in Atlan.

- [Set up MicroStrategy](https://docs.atlan.com/llms/connectors/microstrategy/set-up-microstrategy/llms.txt): Atlan supports basic authentication and API token authentication methods for fetching metadata from MicroStrategy.
- [Crawl MicroStrategy](https://docs.atlan.com/llms/connectors/microstrategy/crawl-microstrategy/llms.txt): Extract metadata from MicroStrategy to catalog reports, dashboards, and metrics. Discover and govern your BI assets after configuring authentication.
- [What does Atlan crawl from MicroStrategy?](https://docs.atlan.com/llms/connectors/microstrategy/what-does-atlan-crawl-from-microstrategy/llms.txt): Atlan crawls and maps the following assets and properties from MicroStrategy.
- [Preflight checks for MicroStrategy](https://docs.atlan.com/llms/connectors/microstrategy/preflight-checks-for-microstrategy/llms.txt): First, the list of projects in the _Include Projects_ and _Exclude Projects_ fields is determined. Next, the Get Projects REST API is used to fetch the actual list of projects for which the user has permissions.
- [Troubleshooting MicroStrategy connectivity](https://docs.atlan.com/llms/connectors/microstrategy/troubleshooting-microstrategy-connectivity/llms.txt): Learn about troubleshooting microstrategy connectivity.

#### [Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/llms.txt)

> Integrate, catalog, and govern Fabric assets in Atlan.

- [Set up Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/set-up-microsoft-fabric/llms.txt): Configure Microsoft Fabric authentication and permissions to connect with Atlan.
- [Set up Microsoft Fabric with Azure API Management](https://docs.atlan.com/llms/connectors/microsoft-fabric/set-up-microsoft-fabric-with-apim/llms.txt): Configure Azure API Management (APIM) as a gateway for Microsoft Fabric API traffic to connect with Atlan using managed identity authentication
- [Crawl Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/crawl-microsoft-fabric/llms.txt): Crawl metadata from Microsoft Fabric to catalog workspaces, reports, dashboards, and datasets. Extract lineage and analytics information from your Fabric environment.
- [How Atlan connects to Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/how-atlan-connects-to-microsoft-fabric/llms.txt): Understand how Atlan securely connects to Microsoft Fabric to extract metadata.
- [What does Atlan crawl from Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/what-does-atlan-crawl-from-microsoft-fabric/llms.txt): Understand the metadata and assets that Atlan discovers from your Microsoft Fabric instance.
- [What lineage does Atlan extract from Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/what-lineage-does-atlan-extract-from-microsoft-fabric/llms.txt): Learn about the lineage relationships that Atlan can map from Microsoft Fabric.
- [Preflight checks for Microsoft Fabric](https://docs.atlan.com/llms/connectors/microsoft-fabric/preflight-checks-for-microsoft-fabric/llms.txt): Before running the Microsoft Fabric crawler, you can run.
- [Microsoft Fabric integration](https://docs.atlan.com/llms/connectors/microsoft-fabric/microsoft-fabric-integration/llms.txt): Common queries around Microsoft Fabric integration.

#### [Microsoft Power BI](https://docs.atlan.com/llms/connectors/microsoft-power-bi/llms.txt)

> Integrate, catalog, and govern Power BI assets in Atlan.

- [How Atlan connects to Microsoft Power BI](https://docs.atlan.com/llms/connectors/microsoft-power-bi/connecting-atlan-to-microsoft-power-bi/llms.txt): Understand how Atlan connects to Microsoft Power BI, who does what across the three teams involved, and the five values you need before you start.
- [Set up Microsoft Entra ID](https://docs.atlan.com/llms/connectors/microsoft-power-bi/set-up-microsoft-entra-id-for-power-bi/llms.txt): Create the app registration, client secret, and security group in Microsoft Entra ID that Atlan uses to connect to Power BI, including the zero-API-permissions rule.
- [Configure Power BI tenant settings](https://docs.atlan.com/llms/connectors/microsoft-power-bi/configure-power-bi-tenant-settings/llms.txt): Enable the four Power BI tenant settings Atlan needs, grant the security group workspace access, and understand the Scanner API trade-off.
- [How to crawl Microsoft Power BI in Atlan](https://docs.atlan.com/llms/connectors/microsoft-power-bi/crawl-microsoft-power-bi/llms.txt): Crawl Microsoft Power BI in Atlan to catalog reports, dashboards, datasets, and workspaces. Configure user permissions in Atlan before establishing the connection.
- [Mine Microsoft Power BI](https://docs.atlan.com/llms/connectors/microsoft-power-bi/mine-microsoft-power-bi/llms.txt)
- [Generate Power BI columns to dataset lineage](https://docs.atlan.com/llms/connectors/microsoft-power-bi/generate-power-bi-columns-dataset-lineage/llms.txt): Learn how to generate column-to-dataset lineage for Microsoft Power BI by using the PowerBI Columns -> Dataset lineage app with report.json files stored in cloud object storage.
- [Generate Power BI columns and measures to pages lineage](https://docs.atlan.com/llms/connectors/microsoft-power-bi/generate-power-bi-columns-measures-pages-lineage/llms.txt): Learn how to generate column and measure to page lineage for Microsoft Power BI by using the PowerBI Columns/Measures -> Pages lineage app with PBIR project files stored in cloud object storage.
- [Enrich Power BI OLS datasets](https://docs.atlan.com/llms/connectors/microsoft-power-bi/enrich-power-bi-ols-datasets/llms.txt): Learn how to prepare BIM files in S3 and enable Power BI OLS dataset enrichment in the Microsoft Power BI crawler to recover tables and columns hidden by Object Level Security and restore upstream lineage to your data warehouse.
- [Two permission layers](https://docs.atlan.com/llms/connectors/microsoft-power-bi/power-bi-two-permission-layers/llms.txt): Azure and Power BI check permissions in two separate layers. Understanding the split explains almost every failed Power BI setup.
- [What does Atlan crawl from Microsoft Power BI?](https://docs.atlan.com/llms/connectors/microsoft-power-bi/what-does-atlan-crawl-from-microsoft-power-bi/llms.txt): Atlan crawls and maps the following assets and properties from Microsoft Power BI.
- [Preflight checks for Microsoft Power BI](https://docs.atlan.com/llms/connectors/microsoft-power-bi/preflight-checks-for-microsoft-power-bi/llms.txt): Before running the Microsoft Power BI crawler, you can run.
- [What lineage does Atlan extract from Microsoft Power BI?](https://docs.atlan.com/llms/connectors/microsoft-power-bi/what-lineage-does-atlan-extract-from-microsoft-power-bi/llms.txt): This document helps you understand how Atlan generates lineage to upstream SQL sources for your Microsoft Power BI assets using a custom query parser, and the steps you can take while developing reports and dashboards in Microsoft Power BI to create seamless lineage generation.
- [Power BI assets package](https://docs.atlan.com/llms/connectors/microsoft-power-bi/package-reference/llms.txt): Programmatically crawl and manage Microsoft Power BI assets in Atlan using the Python SDK (pyatlan). Reference for the Power BI assets package.
- [Power BI assets app](https://docs.atlan.com/llms/connectors/microsoft-power-bi/microsoft-power-bi-sdk-references-app-reference/llms.txt): Learn how to crawl Power BI assets and publish them to Atlan for discovery.
- [Power BI miner app](https://docs.atlan.com/llms/connectors/microsoft-power-bi/microsoft-power-bi-sdk-references-app-miner-reference/llms.txt): Learn how to mine Power BI activity to generate usage and popularity metrics.
- [Microsoft Power BI connectivity errors](https://docs.atlan.com/llms/connectors/microsoft-power-bi/microsoft-power-bi-connectivity-errors/llms.txt): Errors that occur when connecting Atlan to Microsoft Power BI and running the crawler, what each means, and how to fix it.
- [Capabilities & limitations](https://docs.atlan.com/llms/connectors/microsoft-power-bi/power-bi-dataflow-datasource/llms.txt): Frequently asked questions about Power BI data sources, dataflows, connector limitations, and asset previews.
- [Workflow ownership](https://docs.atlan.com/llms/connectors/microsoft-power-bi/power-bi-workflow-ownership/llms.txt): Frequently asked questions about workflow ownership, service accounts, and identity rules for Microsoft Power BI crawlers and miners in Atlan.
- [Authentication](https://docs.atlan.com/llms/connectors/microsoft-power-bi/power-bi-authentication/llms.txt): Frequently asked questions about authenticating Atlan with Microsoft Power BI, including what Test Authentication validates and why the secret field appears empty.
- [Operating Power BI day to day](https://docs.atlan.com/llms/connectors/microsoft-power-bi/operating-microsoft-power-bi/llms.txt): Six operating practices for a Power BI connection, drawn from real-world failure patterns, from secret rotation to the deletion circuit breaker and capacity impact.

#### [Microsoft SQL Server Reporting Services](https://docs.atlan.com/llms/connectors/ssrs/llms.txt)

> Integrate, catalog, and govern Microsoft SQL Server Reporting Services assets in Atlan.

- [Set up Microsoft SSRS](https://docs.atlan.com/llms/connectors/ssrs/set-up-ssrs/llms.txt): Configure authentication and permissions in SSRS to enable Atlan to crawl metadata from your Report Server.
- [Crawl Microsoft SSRS](https://docs.atlan.com/llms/connectors/ssrs/crawl-ssrs/llms.txt): Crawl metadata from SQL Server Reporting Services (SSRS) to catalog reports, datasets, and data sources. Extract report definitions, lineage, and data model information.
- [Set up AWS PrivateLink for SSRS on Amazon EC2](https://docs.atlan.com/llms/connectors/ssrs/set-up-aws-privatelink-for-ssrs-ec2/llms.txt): Set up AWS PrivateLink between SSRS on Amazon EC2 and Atlan using the SQL Server private network link pattern
- [Set up AWS PrivateLink for SSRS on Amazon RDS](https://docs.atlan.com/llms/connectors/ssrs/set-up-aws-privatelink-for-ssrs-rds/llms.txt): Set up AWS PrivateLink between SSRS on Amazon RDS and Atlan using the SQL Server private network link pattern
- [What Atlan crawls from SSRS](https://docs.atlan.com/llms/connectors/ssrs/what-does-atlan-crawl-from-ssrs/llms.txt): Assets and metadata that Atlan extracts from Microsoft SQL Server Reporting Services
- [Common SSRS connection and crawl issues](https://docs.atlan.com/llms/connectors/ssrs/common-ssrs-issues/llms.txt): Troubleshoot SQL Server Reporting Services (SSRS) connection, authentication, and crawl issues with error, cause, and solution guidance.

#### [Qlik Sense Enterprise on Windows](https://docs.atlan.com/llms/connectors/qlik-sense-enterprise-on-windows/llms.txt)

> Integrate, catalog, and govern Qlik Sense Enterprise on Windows assets in Atlan.

- [Set up Qlik Sense Enterprise on Windows](https://docs.atlan.com/llms/connectors/qlik-sense-enterprise-on-windows/set-up-qlik-sense-enterprise-on-windows/llms.txt): :::warning Who can do this? You will need your Qlik Sense Enterprise on Windows administrator to complete these steps - you may not have access yourself.
- [Crawl Qlik Sense Enterprise on Windows](https://docs.atlan.com/llms/connectors/qlik-sense-enterprise-on-windows/crawl-qlik-sense-enterprise-on-windows/llms.txt): Extract metadata from Qlik Sense Enterprise on Windows to catalog applications, sheets, and visualizations. Discover and govern your BI assets after configuring permissions.
- [What does Atlan crawl from Qlik Sense Enterprise on Windows?](https://docs.atlan.com/llms/connectors/qlik-sense-enterprise-on-windows/what-does-atlan-crawl-from-qlik-sense-enterprise-on-windows/llms.txt): Atlan crawls and maps the following assets and properties from Qlik Sense Enterprise on Windows.

#### [Redash](https://docs.atlan.com/llms/connectors/redash/llms.txt)

> Integrate, catalog, and govern Redash assets in Atlan.

- [Set up Redash](https://docs.atlan.com/llms/connectors/redash/set-up-redash/llms.txt): :::warning Who can do this? You will probably need your Redash administrator to complete the following steps - you may not have access yourself.
- [Crawl Redash](https://docs.atlan.com/llms/connectors/redash/crawl-redash/llms.txt): Once you have configured the Redash permissions, you can establish a connection between Atlan and Redash.
- [What does Atlan crawl from Redash?](https://docs.atlan.com/llms/connectors/redash/what-does-atlan-crawl-from-redash/llms.txt): Atlan crawls and maps the following assets and properties from Redash.
- [Preflight checks for Redash](https://docs.atlan.com/llms/connectors/redash/preflight-checks-for-redash/llms.txt): Before running the Redash crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Redash connectivity](https://docs.atlan.com/llms/connectors/redash/troubleshooting-redash-connectivity/llms.txt): Learn about troubleshooting redash connectivity.

#### [Tableau](https://docs.atlan.com/llms/connectors/tableau/llms.txt)

> Integrate, catalog, and govern Tableau assets in Atlan.

- [Set up Tableau](https://docs.atlan.com/llms/connectors/tableau/set-up-tableau/llms.txt): :::warning Who can do this? You probably need your Tableau administrator to run these commands - you may not have access yourself.
- [Choose how Atlan connects to Tableau](https://docs.atlan.com/llms/connectors/tableau/choose-how-atlan-connects-to-tableau/llms.txt): Compare the four ways Atlan can reach your Tableau environment - direct, direct with IP allowlisting, AWS PrivateLink, and the self-deployed agent.
- [Connect Tableau Cloud](https://docs.atlan.com/llms/connectors/tableau/connect-tableau-cloud/llms.txt): Connect Atlan to Tableau Cloud in four phases - service account and PAT, host and site, IP restrictions if enabled, configure and test.
- [Connect Tableau Server](https://docs.atlan.com/llms/connectors/tableau/connect-tableau-server/llms.txt): Connect Atlan to Tableau Server - everything from the Cloud guide plus the two Server-only steps, enabling the Metadata API and getting SSL certificates right.
- [Special cases](https://docs.atlan.com/llms/connectors/tableau/special-cases/llms.txt): Tableau special cases - AWS PrivateLink, fully on-premises servers, Server-to-Cloud migrations, multiple sites, and org changes that quietly break connections.
- [Set up on-premises Tableau access](https://docs.atlan.com/llms/connectors/tableau/set-up-on-premises-tableau-access/llms.txt): In some cases you may not be able to expose your Tableau instance for Atlan to crawl and ingest metadata. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Set up a private network link to Tableau server](https://docs.atlan.com/llms/connectors/tableau/set-up-a-private-network-link-to-tableau-server/llms.txt): As a prerequisite for TLS configuration on Tableau Server only, ensure that the health check _Protocol_ of the target group is set to **HTTPS** or modify the health check settings as required.
- [Crawl Tableau](https://docs.atlan.com/llms/connectors/tableau/crawl-tableau/llms.txt): Crawl metadata from Tableau to catalog workbooks, dashboards, sheets, and data sources. Extract lineage and usage information after configuring user permissions.
- [Crawl on-premises Tableau](https://docs.atlan.com/llms/connectors/tableau/crawl-on-premises-tableau/llms.txt): Extract metadata from on-premises Tableau to catalog workbooks, dashboards, and sheets. Discover and govern your BI assets after configuring extractor tool.
- [Migrate archived enrichments](https://docs.atlan.com/llms/connectors/tableau/migrate-tableau-asset-enrichments/llms.txt): Learn how to use the Tableau Migration Manager app to migrate asset enrichments between Tableau assets in the same connection.
- [How Atlan connects to Tableau](https://docs.atlan.com/llms/connectors/tableau/how-atlan-connects-to-tableau/llms.txt): Learn the two Tableau APIs Atlan uses, how sign-in works with PATs and Connected Apps, and where Tableau connections typically get blocked.
- [How Tableau popularity works](https://docs.atlan.com/llms/connectors/tableau/tableau-popularity/llms.txt): How Atlan sources and computes popularity for Tableau Cloud assets, why JWT bearer authentication isn't supported, and how Tableau differs from miner-based connectors.
- [How Tableau lineage works](https://docs.atlan.com/llms/connectors/tableau/tableau-lineage/llms.txt): Understand how Atlan builds lineage for Tableau assets, the current traversal path, and why Workbooks no longer appear as lineage nodes.
- [Allowlists, firewalls & WAFs](https://docs.atlan.com/llms/connectors/tableau/allowlists-firewalls-and-wafs/llms.txt): The three gatekeepers that can sit between Atlan and Tableau - Tableau Cloud's IP allowlist, your firewall, and WAF content rules - and how to open each.
- [What does Atlan crawl from Tableau?](https://docs.atlan.com/llms/connectors/tableau/what-does-atlan-crawl-from-tableau/llms.txt): During a Tableau crawl, Atlan extracts metadata for Projects, Workbooks, Worksheets, Dashboards, Datasources, and Flows. Reference tables map each Tableau property to its Atlan asset.
- [View-based popularity metrics](https://docs.atlan.com/llms/connectors/tableau/view-based-popularity-metrics/llms.txt): Supported assets, attribute mappings, score formula, and time windows for Tableau popularity in Atlan.
- [Preflight checks for Tableau](https://docs.atlan.com/llms/connectors/tableau/preflight-checks-for-tableau/llms.txt): The Server Info REST API is used to fetch the `restApiVersion` value.
- [Tableau app image and versioning](https://docs.atlan.com/llms/connectors/tableau/tableau-app-image-and-versioning/llms.txt): Identify the container image used for the Tableau assets app, understand its versioning, and find the exact version assigned to your tenant.
- [Tableau assets package](https://docs.atlan.com/llms/connectors/tableau/package-reference/llms.txt): Programmatically crawl and manage Tableau assets in Atlan using the Python SDK (pyatlan). Reference for the Tableau assets package.
- [Tableau assets app](https://docs.atlan.com/llms/connectors/tableau/tableau-sdk-references-app-reference/llms.txt): Learn how to crawl Tableau assets and publish them to Atlan for discovery.
- [Troubleshooting Tableau connectivity](https://docs.atlan.com/llms/connectors/tableau/troubleshooting-tableau-connectivity/llms.txt): Symptom-first troubleshooting for Tableau connectivity - PAT failures, SSL certificate errors, host and site issues, Metadata API limits, mid-run 401s, and WAF blocks.

### CRM

#### [Salesforce](https://docs.atlan.com/llms/connectors/salesforce/llms.txt)

> Integrate, catalog, and govern Salesforce assets in Atlan.

- [Set up Salesforce](https://docs.atlan.com/llms/connectors/salesforce/set-up-salesforce/llms.txt): Configure Salesforce authentication and connection with Atlan. Set up OAuth or JWT Bearer flow for secure integration with Sales Cloud and Financial Services Cloud.
- [Set up JWT bearer flow](https://docs.atlan.com/llms/connectors/salesforce/oauth-jwt-bearer-setup/llms.txt): Configure Salesforce for OAuth 2.0 JWT bearer authentication for Atlan.
- [Set up client credentials flow](https://docs.atlan.com/llms/connectors/salesforce/oauth-client-credentials-setup/llms.txt): Configure Salesforce for OAuth 2.0 client credentials authentication in Atlan.
- [Set up username-password flow](https://docs.atlan.com/llms/connectors/salesforce/oauth-username-password-setup/llms.txt): Configure Salesforce username-password flow for Atlan integration.
- [Crawl Salesforce](https://docs.atlan.com/llms/connectors/salesforce/crawl-salesforce/llms.txt): Extract metadata from Salesforce to catalog objects, fields, and relationships. Discover and govern your CRM data assets after configuring user permissions.
- [What does Atlan crawl from Salesforce?](https://docs.atlan.com/llms/connectors/salesforce/what-does-atlan-crawl-from-salesforce/llms.txt): During a Salesforce crawl, Atlan extracts metadata for Organizations, Objects, Fields, Reports, and Dashboards. Reference tables map each Salesforce property to its Atlan asset.
- [Preflight checks for Salesforce](https://docs.atlan.com/llms/connectors/salesforce/preflight-checks-for-salesforce/llms.txt): Before running the Salesforce crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Salesforce connectivity](https://docs.atlan.com/llms/connectors/salesforce/troubleshooting-salesforce-connectivity/llms.txt): Learn about troubleshooting salesforce connectivity.
- [Does Atlan require an admin user in Salesforce?](https://docs.atlan.com/llms/connectors/salesforce/admin-user-salesforce/llms.txt): No. However, it is recommended that a Salesforce administrator establishes a connection between Atlan and Salesforce. To learn more, see here.
- [Why does the description from Salesforce not show up in Atlan?](https://docs.atlan.com/llms/connectors/salesforce/salesforce-description-not-showing/llms.txt): Atlan supports extracting and displaying description metadata for your Salesforce objects.

### Data Quality & Observability

#### [Anomalo](https://docs.atlan.com/llms/connectors/anomalo/llms.txt)

> Integrate, catalog, and govern Anomalo assets in Atlan.

- [Set up Anomalo](https://docs.atlan.com/llms/connectors/anomalo/set-up-anomalo/llms.txt): Atlan supports the API authentication method for fetching metadata from Anomalo. This method uses an API key to fetch metadata.
- [Integrate Anomalo](https://docs.atlan.com/llms/connectors/anomalo/integrate-anomalo/llms.txt): Once you have configured the Anomalo settings, you can establish a connection between Atlan and Anomalo.
- [What does Atlan crawl from Anomalo?](https://docs.atlan.com/llms/connectors/anomalo/what-does-atlan-crawl-from-anomalo/llms.txt): Once you have integrated Anomalo, Atlan will receive webhook events when checks are executed in Anomalo. These checks will be cataloged in Atlan to create a relationship with existing assets using the association information from the check.
- [Preflight checks for Anomalo](https://docs.atlan.com/llms/connectors/anomalo/preflight-checks-for-anomalo/llms.txt): This check tests for the validity of the host name URL and API key you provided. If Atlan is unable to connect to your Anomalo instance, this may indicate that your credentials are either incorrect or invalid.
- [Troubleshooting Anomalo connectivity](https://docs.atlan.com/llms/connectors/anomalo/troubleshooting-anomalo-connectivity/llms.txt): Learn about troubleshooting anomalo connectivity.

#### [Ataccama](https://docs.atlan.com/llms/connectors/ataccama/llms.txt)

> Integrate, catalog, and govern Ataccama assets in Atlan.

- [Set up Ataccama](https://docs.atlan.com/llms/connectors/ataccama/set-up-ataccama/llms.txt): Configure authentication credentials in Ataccama ONE to enable Atlan to fetch data quality metadata from your Ataccama instance.
- [Integrate Ataccama with Atlan](https://docs.atlan.com/llms/connectors/ataccama/integrate-ataccama/llms.txt): Create an ingestion workflow in Atlan to fetch data quality metadata from Ataccama ONE and enrich your existing assets with DQ insights.
- [What does Atlan crawl from Ataccama?](https://docs.atlan.com/llms/connectors/ataccama/what-does-atlan-crawl-from-ataccama/llms.txt): Learn about the data quality metadata that Atlan catalogs from Ataccama to enrich your tables and columns.

#### [Bigeye](https://docs.atlan.com/llms/connectors/bigeye/llms.txt)

> Integrate, catalog, and govern Bigeye assets in Atlan.

- [Set up Bigeye](https://docs.atlan.com/llms/connectors/bigeye/set-up-bigeye/llms.txt): Map Atlan connections to Bigeye sources and configure authentication credentials to enable Atlan to fetch data quality metadata from your Bigeye instance.
- [Ingest data quality metadata](https://docs.atlan.com/llms/connectors/bigeye/ingest-bigeye-data/llms.txt): Create an ingestion workflow in Atlan to fetch data quality metadata from Bigeye and enrich your existing assets with DQ insights.
- [Preflight checks for Bigeye](https://docs.atlan.com/llms/connectors/bigeye/preflight-checks-for-bigeye/llms.txt): This check tests for the validity of the host name URL and API key you provided. If Atlan is unable to connect to your Bigeye instance, this may indicate that your credentials are either incorrect or invalid.
- [What does Atlan crawl from Bigeye?](https://docs.atlan.com/llms/connectors/bigeye/what-does-atlan-crawl-from-bigeye/llms.txt): Learn about the data quality metadata that Atlan catalogs from Bigeye to enrich your tables and columns.

#### [Elementary Cloud](https://docs.atlan.com/llms/connectors/elementary/llms.txt)

> Surface Elementary Cloud data health scores and incidents on your warehouse assets in Atlan as custom metadata.

- [Set up Elementary Cloud](https://docs.atlan.com/llms/connectors/elementary/set-up-elementary/llms.txt): Configure the Elementary Cloud integration to sync data health scores and incident metadata into Atlan.
- [What does Atlan crawl from Elementary Cloud?](https://docs.atlan.com/llms/connectors/elementary/what-does-atlan-crawl-from-elementary/llms.txt): Learn about the data health scores and incident metadata that Elementary Cloud lands on Atlan assets as custom metadata.
- [Sync cadence](https://docs.atlan.com/llms/connectors/elementary/sync-cadence/llms.txt): Frequently asked questions about how and when Elementary Cloud syncs metadata to Atlan.

#### [Monte Carlo](https://docs.atlan.com/llms/connectors/monte-carlo/llms.txt)

> Integrate, catalog, and govern Monte Carlo assets in Atlan.

- [Set up Monte Carlo](https://docs.atlan.com/llms/connectors/monte-carlo/set-up-monte-carlo/llms.txt): :::warning Who can do this? You will probably need your Monte Carlo account owner.
- [Crawl Monte Carlo](https://docs.atlan.com/llms/connectors/monte-carlo/crawl-monte-carlo/llms.txt): Once you have configured the Monte Carlo permissions, you can establish a connection between Atlan and Monte Carlo.
- [What does Atlan crawl from Monte Carlo?](https://docs.atlan.com/llms/connectors/monte-carlo/what-does-atlan-crawl-from-monte-carlo/llms.txt): What does Atlan crawl from Monte Carlo?
- [Preflight checks for Monte Carlo](https://docs.atlan.com/llms/connectors/monte-carlo/preflight-checks-for-monte-carlo/llms.txt): Before running the Monte Carlo crawler, you can run preflight checks to perform the necessary technical validations.

#### [Qualytics](https://docs.atlan.com/llms/connectors/qualytics/llms.txt)

> Integrate, catalog, and govern Qualytics assets in Atlan.

- [Set up Qualytics](https://docs.atlan.com/llms/connectors/qualytics/set-up-qualytics/llms.txt): Configure API access in Atlan and Qualytics to enable secure authentication and data quality metadata synchronization between your Qualytics instance and Atlan.
- [Crawl Qualytics](https://docs.atlan.com/llms/connectors/qualytics/crawl-qualytics/llms.txt): Crawl metadata from Qualytics to capture data quality checks, anomalies, and scores. Enrich your assets with comprehensive quality insights from quality rules and validations.
- [What does Atlan crawl from Qualytics?](https://docs.atlan.com/llms/connectors/qualytics/what-does-atlan-crawl-from-qualytics/llms.txt): Learn about the data quality metadata that Atlan catalogs from Qualytics to enrich your assets.

#### [Soda](https://docs.atlan.com/llms/connectors/soda/llms.txt)

> Integrate, catalog, and govern Soda assets in Atlan.

- [Set up Soda](https://docs.atlan.com/llms/connectors/soda/set-up-soda/llms.txt): :::warning Who can do this? You will need your Soda Cloud administrator to complete these steps -.
- [Crawl Soda](https://docs.atlan.com/llms/connectors/soda/crawl-soda/llms.txt): Once you have configured the Soda permissions, you can establish a connection between Atlan and Soda.
- [What does Atlan crawl from Soda?](https://docs.atlan.com/llms/connectors/soda/what-does-atlan-crawl-from-soda/llms.txt): Atlan crawls datasets and then filters out all the datasets without any checks. It then crawls the checks associated with each of the datasets with checks from Soda. These checks are cataloged in Atlan to create a relationship with existing assets using the association information from the dataset.
- [Preflight checks for Soda](https://docs.atlan.com/llms/connectors/soda/preflight-checks-for-soda/llms.txt): Learn about preflight checks for soda

#### [Telmai](https://docs.atlan.com/llms/connectors/telmai/llms.txt)

> Enrich Atlan assets with data quality scores, policy evaluation results, and dimension-level insights from Telmai.

- [Set up Telmai](https://docs.atlan.com/llms/connectors/telmai/set-up-telmai/llms.txt): Configure connection mappings in Telmai and generate API credentials to enable Atlan to fetch data quality metadata from your Telmai instance.
- [Ingest data quality metadata](https://docs.atlan.com/llms/connectors/telmai/ingest-telmai-data/llms.txt): Create an ingestion workflow in Atlan to fetch data quality metadata from Telmai and enrich your existing assets with DQ insights.
- [What does Atlan crawl from Telmai?](https://docs.atlan.com/llms/connectors/telmai/what-does-atlan-crawl-from-telmai/llms.txt): Learn about the data quality metadata that Atlan catalogs from Telmai to enrich your tables and columns.

### Databases

#### [AlloyDB — PostgreSQL](https://docs.atlan.com/llms/connectors/alloydb-postgresql/llms.txt)

> Integrate, catalog, and govern AlloyDB for PostgreSQL assets in Atlan.

- [Set up AlloyDB for PostgreSQL](https://docs.atlan.com/llms/connectors/alloydb-postgresql/set-up-alloydb-postgresql/llms.txt): Configure authentication and connection settings for AlloyDB for PostgreSQL connector
- [Choose how Atlan connects to AlloyDB for PostgreSQL](https://docs.atlan.com/llms/connectors/alloydb-postgresql/choose-how-atlan-connects-to-alloydb-postgresql/llms.txt): Compare the three ways Atlan can reach your AlloyDB for PostgreSQL instance - the self-deployed runtime, Private Service Connect, and public IP with authorized networks.
- [Allowlist Atlan IPs in AlloyDB authorized networks](https://docs.atlan.com/llms/connectors/alloydb-postgresql/allowlist-atlan-ips-in-alloydb-authorized-networks/llms.txt): Enable a public IP on your AlloyDB for PostgreSQL instance and admit only Atlan's tenant-specific egress IPs through authorized networks.
- [Connect through self-deployed runtime](https://docs.atlan.com/llms/connectors/alloydb-postgresql/connect-through-the-self-deployed-runtime/llms.txt): Connect Atlan to a private AlloyDB for PostgreSQL instance with the self-deployed runtime - a small service in your network that reads AlloyDB locally and sends metadata out over outbound-only HTTPS.
- [Set up Private Service Connect to AlloyDB](https://docs.atlan.com/llms/connectors/alloydb-postgresql/set-up-private-service-connect-to-alloydb/llms.txt): Let Atlan's SaaS reach your AlloyDB for PostgreSQL privately over Google's internal network - no public IP, nothing deployed on your side beyond a service attachment.
- [Special cases](https://docs.atlan.com/llms/connectors/alloydb-postgresql/special-cases/llms.txt): AlloyDB for PostgreSQL special cases - fleets of instances, very large databases, cross-cloud tenants, and connection paths that rewrite the port.
- [Crawl AlloyDB for PostgreSQL](https://docs.atlan.com/llms/connectors/alloydb-postgresql/crawl-alloydb-postgresql/llms.txt): Extract metadata from your AlloyDB for PostgreSQL database and establish a connection between Atlan and your database
- [How Atlan connects to AlloyDB Postgres](https://docs.atlan.com/llms/connectors/alloydb-postgresql/how-atlan-connect-to-alloydb-postgres/llms.txt): Understand how Atlan securely connects to your AlloyDB Postgres database to extract metadata.
- [How AlloyDB connectivity works](https://docs.atlan.com/llms/connectors/alloydb-postgresql/how-alloydb-connectivity-works/llms.txt): Learn why AlloyDB for PostgreSQL is hard to reach from outside, and what each of the three connection paths - self-deployed runtime, Private Service Connect, and public IP - actually does.
- [What does Atlan crawl from AlloyDB for PostgreSQL](https://docs.atlan.com/llms/connectors/alloydb-postgresql/what-does-atlan-crawl-from-alloydb-postgresql/llms.txt): Atlan crawls and maps the following assets and properties from AlloyDB for PostgreSQL
- [Preflight checks for AlloyDB for PostgreSQL](https://docs.atlan.com/llms/connectors/alloydb-postgresql/preflight-checks-for-alloydb-postgresql/llms.txt): Verify prerequisites before setting up the AlloyDB for PostgreSQL connector
- [Troubleshooting AlloyDB connectivity](https://docs.atlan.com/llms/connectors/alloydb-postgresql/troubleshooting-alloydb-connectivity/llms.txt): Symptom-first troubleshooting for AlloyDB for PostgreSQL connectivity - private IP errors, PSC handshake failures, IAM authentication issues, grants, large crawls, and sudden breakage.

#### [Cloud SQL — PostgreSQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/llms.txt)

> Integrate, catalog, and govern Cloud SQL for PostgreSQL assets in Atlan.

- [Set up Cloud SQL for PostgreSQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/set-up-cloud-sql-postgresql/llms.txt): Configure authentication and connection settings for Cloud SQL for PostgreSQL connector
- [Choose how Atlan connects to Cloud SQL for PostgreSQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/choose-how-atlan-connects-to-cloud-sql-postgresql/llms.txt): Compare the three ways Atlan can reach your Cloud SQL for PostgreSQL instance - public IP with authorized networks, the self-deployed runtime, and Private Service Connect.
- [Connect over public IP with authorized networks](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/connect-over-public-ip-with-authorized-networks/llms.txt): Connect Atlan to Cloud SQL for PostgreSQL over the instance's public IP, with Cloud SQL's authorized-networks list and SSL keeping everyone else out.
- [Connect a private-IP instance via self-deployed runtime](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/connect-a-private-ip-instance-via-the-self-deployed-runtime/llms.txt): Keep your Cloud SQL for PostgreSQL instance private - run a small Atlan-provided agent inside your network that reads metadata locally and sends it to Atlan over outbound HTTPS only.
- [Private Service Connect to Cloud SQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/private-service-connect-to-cloud-sql/llms.txt): Keep traffic between your GCP-hosted Atlan tenant and your Cloud SQL for PostgreSQL instance entirely on Google's internal network with Private Service Connect.
- [Special cases](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/special-cases/llms.txt): Cloud SQL for PostgreSQL special cases - IAM authentication done right, cross-cloud tenants, multiple instances and read replicas, and private IPs that quietly change.
- [Crawl Cloud SQL for PostgreSQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/crawl-cloud-sql-postgresql/llms.txt): Extract metadata from your Cloud SQL for PostgreSQL database and establish a connection between Atlan and your database
- [How Atlan connects to Cloud SQL Postgres](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/how-atlan-connect-to-cloud-sql-postgres/llms.txt): Understand how Atlan securely connects to your Cloud SQL Postgres database to extract metadata.
- [How Cloud SQL connectivity works](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/how-cloud-sql-connectivity-works/llms.txt): Learn the three traffic paths between Atlan and your Cloud SQL for PostgreSQL instance, who owns each piece, and why connectivity is not authentication.
- [What does Atlan crawl from Cloud SQL for PostgreSQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/what-does-atlan-crawl-from-cloud-sql-postgresql/llms.txt): Atlan crawls and maps the following assets and properties from Cloud SQL for PostgreSQL
- [Preflight checks for Cloud SQL for PostgreSQL](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/preflight-checks-for-cloud-sql-postgresql/llms.txt): Verify prerequisites before setting up the Cloud SQL for PostgreSQL connector
- [Future tables and permissions](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/future-tables-permissions/llms.txt): How to configure permissions for future tables created by any user in Cloud SQL for PostgreSQL
- [Troubleshooting Cloud SQL for PostgreSQL connectivity](https://docs.atlan.com/llms/connectors/cloud-sql-postgresql/troubleshooting-cloud-sql-postgresql-connectivity/llms.txt): Symptom-first troubleshooting for Cloud SQL for PostgreSQL connectivity - private IP errors, timeouts dressed as auth failures, SSL mismatches, IAM login, agent hangs, and PSC pending states.

#### [ClickHouse](https://docs.atlan.com/llms/connectors/clickhouse/llms.txt)

> Integrate, catalog, and govern ClickHouse assets in Atlan.

- [Set up ClickHouse](https://docs.atlan.com/llms/connectors/clickhouse/set-up-clickhouse/llms.txt): Configure a dedicated ClickHouse user with read-only access so Atlan can connect and extract metadata.
- [Crawl ClickHouse](https://docs.atlan.com/llms/connectors/clickhouse/crawl-clickhouse/llms.txt): Create a ClickHouse crawler workflow in Atlan to extract metadata from your database.
- [Mine ClickHouse](https://docs.atlan.com/llms/connectors/clickhouse/mine-clickhouse/llms.txt): Once you have crawled assets from ClickHouse, you can mine its query history to construct lineage.
- [Generate lineage](https://docs.atlan.com/llms/connectors/clickhouse/generate-lineage-with-clickhouse-miner/llms.txt): Enable query logging and configure your ClickHouse instance so the ClickHouse Miner workflow can extract query history and generate lineage.
- [How Atlan connects to ClickHouse](https://docs.atlan.com/llms/connectors/clickhouse/how-atlan-connects-to-clickhouse/llms.txt): Understand how Atlan securely connects to your ClickHouse database to extract metadata.
- [What does Atlan crawl from ClickHouse?](https://docs.atlan.com/llms/connectors/clickhouse/what-does-atlan-crawl-from-clickhouse/llms.txt): During a ClickHouse crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Columns. Reference tables map each ClickHouse property to its Atlan asset.
- [Preflight checks for ClickHouse](https://docs.atlan.com/llms/connectors/clickhouse/preflight-checks-for-clickhouse/llms.txt): Before running the ClickHouse crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting ClickHouse connectivity](https://docs.atlan.com/llms/connectors/clickhouse/troubleshooting-clickhouse-connectivity/llms.txt): Resolve common ClickHouse connection issues and errors.

#### [CrateDB](https://docs.atlan.com/llms/connectors/cratedb/llms.txt)

> Integrate, catalog, and govern CrateDB assets in Atlan.

- [Set up CrateDB](https://docs.atlan.com/llms/connectors/cratedb/set-up-cratedb/llms.txt): Configure authentication and connection settings for CrateDB connector
- [Crawl CrateDB](https://docs.atlan.com/llms/connectors/cratedb/crawl-cratedb/llms.txt): Configure and run the CrateDB crawler to extract metadata from your database
- [What does Atlan crawl from CrateDB?](https://docs.atlan.com/llms/connectors/cratedb/what-does-atlan-crawl-from-cratedb/llms.txt): Complete list of CrateDB assets and metadata properties extracted by Atlan during crawling
- [Preflight checks for CrateDB](https://docs.atlan.com/llms/connectors/cratedb/preflight-checks-for-cratedb/llms.txt): Technical validations performed before running the CrateDB crawler to verify connectivity and permissions
- [Connection issues](https://docs.atlan.com/llms/connectors/cratedb/connection-issues/llms.txt): Resolve common connection and authentication issues when setting up CrateDB connector
- [Permissions and limitations](https://docs.atlan.com/llms/connectors/cratedb/permissions-and-limitations/llms.txt): Frequently asked questions about CrateDB connector setup, permissions, and limitations

#### [IBM Db2 — LUW](https://docs.atlan.com/llms/connectors/ibm-db2-for-luw/llms.txt)

> Catalog and govern IBM Db2 for LUW assets in Atlan for discovery and governance.

- [Set up IBM Db2 for LUW](https://docs.atlan.com/llms/connectors/ibm-db2-for-luw/set-up-ibm-db2-for-luw/llms.txt): Create a least-privilege Db2 for LUW user and grant the catalog access Atlan needs to crawl metadata.
- [Crawl IBM Db2 for LUW](https://docs.atlan.com/llms/connectors/ibm-db2-for-luw/crawl-ibm-db2-for-luw/llms.txt): Extract metadata from IBM Db2 for LUW to catalog databases, schemas, tables, views, columns, stored procedures, and functions in Atlan.
- [How Atlan connects to IBM Db2 for LUW](https://docs.atlan.com/llms/connectors/ibm-db2-for-luw/how-atlan-connects-to-ibm-db2-for-luw/llms.txt): Understand how Atlan securely connects to your IBM Db2 for LUW server to extract metadata.
- [What does Atlan crawl from IBM Db2 for LUW?](https://docs.atlan.com/llms/connectors/ibm-db2-for-luw/what-does-atlan-crawl-from-ibm-db2-for-luw/llms.txt): Metadata Atlan extracts from IBM Db2 for LUW - databases, schemas, tables, views, columns, stored procedures, and functions - mapped to Atlan assets.
- [Preflight checks for IBM Db2 for LUW](https://docs.atlan.com/llms/connectors/ibm-db2-for-luw/preflight-checks-for-ibm-db2-for-luw/llms.txt): Before running the IBM Db2 for LUW crawler, run preflight checks to perform necessary technical validations.

#### [IBM Db2 — z/OS](https://docs.atlan.com/llms/connectors/ibm-db2-for-zos/llms.txt)

> Catalog and govern IBM Db2 for z/OS assets in Atlan for discovery and governance.

- [Set up IBM Db2 for z/OS](https://docs.atlan.com/llms/connectors/ibm-db2-for-zos/set-up-ibm-db2-for-zos/llms.txt): Create a least-privilege Db2 for z/OS authorization ID and grant the catalog access Atlan needs to crawl metadata.
- [Crawl IBM Db2 for z/OS](https://docs.atlan.com/llms/connectors/ibm-db2-for-zos/crawl-ibm-db2-for-zos/llms.txt): Extract metadata from IBM Db2 for z/OS to catalog databases, schemas, tables, views, columns, stored procedures, and functions in Atlan.
- [How Atlan connects to IBM Db2 for z/OS](https://docs.atlan.com/llms/connectors/ibm-db2-for-zos/how-atlan-connects-to-ibm-db2-for-zos/llms.txt): Understand how Atlan securely connects to your IBM Db2 for z/OS subsystem to extract metadata.
- [What does Atlan crawl from IBM Db2 for z/OS?](https://docs.atlan.com/llms/connectors/ibm-db2-for-zos/what-does-atlan-crawl-from-ibm-db2-for-zos/llms.txt): Metadata Atlan extracts from IBM Db2 for z/OS - databases, schemas, tables, views, columns, stored procedures, and functions - mapped to Atlan assets.
- [Preflight checks for IBM Db2 for z/OS](https://docs.atlan.com/llms/connectors/ibm-db2-for-zos/preflight-checks-for-ibm-db2-for-zos/llms.txt): Before running the IBM Db2 for z/OS crawler, run preflight checks to perform necessary technical validations.

#### [Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/llms.txt)

> Integrate, catalog, and govern Microsoft SQL Server assets in Atlan. Optionally mine query history to build lineage.

- [Set up Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/set-up-microsoft-sql-server/llms.txt): Configure authentication and permissions for Microsoft SQL Server to enable Atlan to crawl metadata from your database.
- [Choose how Atlan connects to SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/choose-how-atlan-connects-to-microsoft-sql-server/llms.txt): Compare the three ways Atlan can reach your Microsoft SQL Server - direct with IP allowlisting, a private network link, or the self-deployed runtime - and pick the right one before you touch any firewall.
- [Connect directly with IP allowlisting](https://docs.atlan.com/llms/connectors/microsoft-sql-server/connect-directly-with-ip-allowlisting/llms.txt): Connect Atlan to a SQL Server that is reachable from the internet - including Azure SQL Database with "Selected networks" enabled. Four phases, each labeled with who performs it.
- [Special cases](https://docs.atlan.com/llms/connectors/microsoft-sql-server/special-cases/llms.txt): On-premises SQL Server via the self-deployed runtime, Windows/NTLM and Entra ID authentication quirks, Azure SQL Managed Instance failover listeners, and estates with many environments and ports.
- [Crawl Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/crawl-microsoft-sql-server/llms.txt): Crawl metadata from Microsoft SQL Server to catalog databases, schemas, tables, and views. Extract column details and enable data discovery, lineage tracking, and governance after configuring user permissions.
- [Mine Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/mine-microsoft-sql-server/llms.txt): Once you have crawled assets from Microsoft SQL Server, you can mine its query history to construct lineage.
- [Private network links to Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/private-network-links-to-microsoft-sql-server/llms.txt): Connect Atlan to a SQL Server that has no public access, over AWS PrivateLink or Azure Private Link - one common five-phase pattern covering EC2, RDS, Azure VM, and Azure SQL Database / Managed Instance.
- [Set up a private network link to Microsoft SQL Server on Amazon EC2](https://docs.atlan.com/llms/connectors/microsoft-sql-server/set-up-a-private-network-link-to-microsoft-sql-server-on-amazon-ec2/llms.txt): :::warning Who can do this? You will need your AWS administrator to complete these tasks - you may not have access yourself.
- [Set up a private network link to Microsoft SQL Server on Amazon RDS](https://docs.atlan.com/llms/connectors/microsoft-sql-server/set-up-a-private-network-link-to-microsoft-sql-server-on-amazon-rds/llms.txt): :::warning Who can do this? You will need your AWS administrator to complete these tasks - you may not have access yourself.
- [Set up privatelink to Azure SQL Database](https://docs.atlan.com/llms/connectors/microsoft-sql-server/set-up-a-private-network-link-to-azure-sql-database/llms.txt): Set up Azure Private Link between Azure SQL Database (PaaS) and Atlan using cross-subscription private endpoint connectivity.
- [Set up private link to SQL Server on Azure Virtual Machine](https://docs.atlan.com/llms/connectors/microsoft-sql-server/set-up-a-private-network-link-to-sql-server-on-azure-virtual-machine/llms.txt): Set up Azure Private Link between SQL Server on an Azure Virtual Machine (IaaS) and Atlan using a Private Link Service and Internal Load Balancer.
- [How Atlan connects to Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/how-atlan-connects-to-microsoft-sql-server/llms.txt): Learn how Atlan connects to Microsoft SQL Server using direct connectivity or Self-deployed runtime while protecting your network and credentials.
- [How SQL Server connectivity works](https://docs.atlan.com/llms/connectors/microsoft-sql-server/how-sql-server-connectivity-works/llms.txt): A plain-language explanation of where Atlan's crawler actually runs, the three traffic paths to your SQL Server, and how authentication rides on top of the network path.
- [Firewalls and allowlists](https://docs.atlan.com/llms/connectors/microsoft-sql-server/firewalls-and-allowlists/llms.txt): SQL Server traffic from Atlan usually crosses several firewalls, owned by different teams. Every layer, which Atlan value belongs in each, and the mistakes that generate the most support tickets.
- [What does Atlan crawl from Microsoft SQL Server?](https://docs.atlan.com/llms/connectors/microsoft-sql-server/what-does-atlan-crawl-from-microsoft-sql-server/llms.txt): Atlan crawls and maps the following assets and properties from Microsoft SQL Server.
- [Preflight checks for Microsoft SQL Server](https://docs.atlan.com/llms/connectors/microsoft-sql-server/preflight-checks-for-microsoft-sql-server/llms.txt): Before running the Microsoft SQL Server crawler, you can run preflight checks to perform the necessary technical validations.
- [SQL Server package](https://docs.atlan.com/llms/connectors/microsoft-sql-server/package-reference/llms.txt): Programmatically crawl and manage Microsoft SQL Server assets in Atlan using the Python SDK (pyatlan). Reference for the SQL Server assets package.
- [Microsoft SQL Server assets app](https://docs.atlan.com/llms/connectors/microsoft-sql-server/microsoft-sql-server-sdk-references-app-reference/llms.txt): Learn how to crawl Microsoft SQL Server assets and publish them to Atlan for discovery.
- [Troubleshooting SQL Server connectivity](https://docs.atlan.com/llms/connectors/microsoft-sql-server/troubleshooting-microsoft-sql-server-connectivity/llms.txt): Symptom-first troubleshooting for Microsoft SQL Server connectivity - HYT00 login timeouts, 08001 handshake resets, TCP failures and redirects, authentication errors, private link stalls, and agent hangs.

#### [MySQL](https://docs.atlan.com/llms/connectors/mysql/llms.txt)

> Integrate, catalog, and govern MySQL assets in Atlan.

- [Set up MySQL](https://docs.atlan.com/llms/connectors/mysql/set-up-mysql/llms.txt): :::warning Who can do this? You probably need your MySQL administrator to run these commands - you may not have access yourself.
- [Set up a private network link to MySQL](https://docs.atlan.com/llms/connectors/mysql/set-up-a-private-network-link-to-mysql/llms.txt): :::warning Who can do this? You need your AWS administrator to complete these tasks - you may not have access yourself.
- [Crawl MySQL](https://docs.atlan.com/llms/connectors/mysql/crawl-mysql/llms.txt): To crawl metadata from MySQL, review the order of operations and then complete the following steps.
- [How Atlan connects to MySQL](https://docs.atlan.com/llms/connectors/mysql/how-atlan-connects-to-mysql/llms.txt): Understand how Atlan securely connects to your MySQL database to extract metadata.
- [What does Atlan crawl from MySQL?](https://docs.atlan.com/llms/connectors/mysql/what-does-atlan-crawl-from-mysql/llms.txt): During a MySQL crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Stored Procedures. Reference tables map each MySQL property to its Atlan asset.
- [Preflight checks for MySQL](https://docs.atlan.com/llms/connectors/mysql/preflight-checks-for-mysql/llms.txt): Before running the MySQL crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting MySQL connectivity](https://docs.atlan.com/llms/connectors/mysql/troubleshooting-mysql-connectivity/llms.txt): Learn about troubleshooting mysql connectivity.

#### [Oracle](https://docs.atlan.com/llms/connectors/oracle/llms.txt)

> Integrate, catalog, and govern Oracle assets in Atlan.

- [Set up Oracle](https://docs.atlan.com/llms/connectors/oracle/set-up-oracle/llms.txt): Configure Oracle user and permissions to enable Atlan to extract metadata from your Oracle database.
- [Crawl Oracle](https://docs.atlan.com/llms/connectors/oracle/crawl-oracle/llms.txt): Crawl metadata from Oracle Database to catalog schemas, tables, views, and columns. Extract lineage and asset information after configuring user permissions and database connectivity.
- [Generate lineage](https://docs.atlan.com/llms/connectors/oracle/generate-lineage-with-oracle-miner/llms.txt): Create an ingestion workflow in Atlan to extract Oracle query history and generate lineage for existing Oracle assets.
- [How Atlan connects to Oracle](https://docs.atlan.com/llms/connectors/oracle/how-atlan-connects-to-oracle/llms.txt): Understand how Atlan securely connects to your Oracle database to extract metadata.
- [What does Atlan crawl from Oracle?](https://docs.atlan.com/llms/connectors/oracle/what-does-atlan-crawl-from-oracle/llms.txt): During an Oracle crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Procedures. Reference tables map each Oracle property to its Atlan asset.
- [Preflight checks for Oracle](https://docs.atlan.com/llms/connectors/oracle/preflight-checks-for-oracle/llms.txt): Before running the Oracle crawler, you can run preflight checks to perform the necessary technical validations.
- [Oracle assets package](https://docs.atlan.com/llms/connectors/oracle/package-reference/llms.txt): Programmatically crawl and manage Oracle assets in Atlan using the Python SDK (pyatlan). Reference for the Oracle assets package.
- [Oracle assets app](https://docs.atlan.com/llms/connectors/oracle/oracle-sdk-references-app-reference/llms.txt): Learn how to crawl Oracle assets and publish them to Atlan for discovery.
- [Oracle miner app](https://docs.atlan.com/llms/connectors/oracle/oracle-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Oracle to generate lineage and usage metrics.
- [Database asset name doesn't match service name](https://docs.atlan.com/llms/connectors/oracle/troubleshooting-oracle-database-name-mismatch/llms.txt): Understand why the Oracle database asset name in Atlan may differ from the service name you used to connect, and how to diagnose the root cause.

#### [PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/llms.txt)

> Integrate, catalog, and govern PostgreSQL assets in Atlan

- [Set up PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/set-up-postgresql/llms.txt): :::warning Who can do this? You will probably need your PostgreSQL administrator to run these commands - you may not have access yourself.
- [Choose how Atlan connects to PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/choose-how-atlan-connects-to-postgresql/llms.txt): Compare the three ways Atlan can reach your PostgreSQL database - internet with IP allowlisting, private connectivity, or a self-deployed agent - and pick the right one before touching any firewall.
- [Connect over the internet with IP allowlisting](https://docs.atlan.com/llms/connectors/postgresql/connect-over-the-internet-with-ip-allowlisting/llms.txt): The fastest path to connect Atlan to PostgreSQL - Atlan connects to your database's public endpoint over TLS, and you allowlist Atlan's fixed egress IPs. Five phases, each labeled with who performs it.
- [Set up AWS PrivateLink to PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/set-up-a-private-network-link-to-postgresql/llms.txt): Connect Atlan to a private RDS or Aurora PostgreSQL database over AWS PrivateLink, so traffic never crosses the public internet. Five phases, each labeled with who performs it.
- [Set up Azure private connectivity to PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/set-up-azure-private-connectivity-to-postgresql/llms.txt): Private connectivity from Atlan to Azure Database for PostgreSQL is a support-assisted VNet peering setup - what to ask for, what you configure yourself, and the caveats to insist on before signing off.
- [Set up GCP private connectivity to PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/set-up-gcp-private-connectivity-to-postgresql/llms.txt): Private connectivity to PostgreSQL on Google Cloud depends on what the database is - Cloud SQL and AlloyDB have Private Service Connect paths under their own connectors; self-managed Postgres uses the self-deployed agent.
- [Special cases](https://docs.atlan.com/llms/connectors/postgresql/special-cases/llms.txt): On-premises PostgreSQL, many databases behind one PrivateLink, Aurora failovers and moving IPs, Azure and GCP hosting, cross-region IAM authentication, and VPC Lattice.
- [Crawl PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/crawl-postgresql/llms.txt): Configure and run PostgreSQL metadata extraction workflows to catalog databases, schemas, tables, views, and columns in Atlan.
- [Mine PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/mine-postgresql/llms.txt): Once you have crawled assets from PostgreSQL, you can mine its query history to construct lineage.
- [Generate lineage](https://docs.atlan.com/llms/connectors/postgresql/generate-lineage-with-postgres-miner/llms.txt): Enable pg_stat_statements and configure your PostgreSQL instance so the PostgreSQL Miner workflow can extract query history and generate lineage.
- [How Atlan connects to PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/how-atlan-connects-to-postgresql/llms.txt): Understand how Atlan securely connects to your PostgreSQL database to extract metadata, with support for multiple authentication methods and deployment modes
- [How database connectivity works](https://docs.atlan.com/llms/connectors/postgresql/how-database-connectivity-works/llms.txt): A plain-language explanation of the journey a connection makes from Atlan to your PostgreSQL database - the three gates it must pass, the three paths it can take, and SSL in one minute.
- [Firewalls, pg_hba.conf, and SSL](https://docs.atlan.com/llms/connectors/postgresql/firewalls-pg-hba-conf-and-ssl/llms.txt): The reference for gates 1 and 2 - what to allowlist where, how pg_hba.conf decides, and how to keep the SSL settings on both ends consistent. Applies to every connectivity method.
- [What does Atlan crawl from PostgreSQL?](https://docs.atlan.com/llms/connectors/postgresql/what-does-atlan-crawl-from-postgresql/llms.txt): During a PostgreSQL crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Functions. Reference tables map each PostgreSQL property to its Atlan asset.
- [Preflight checks for PostgreSQL](https://docs.atlan.com/llms/connectors/postgresql/preflight-checks-for-postgresql/llms.txt): Run preflight checks before the PostgreSQL crawler to validate connectivity, permissions, and configuration - and decode failures that happen before any check runs.
- [Postgres assets package](https://docs.atlan.com/llms/connectors/postgresql/package-reference/llms.txt): Programmatically crawl and manage PostgreSQL assets in Atlan using the Python SDK (pyatlan). Reference for the PostgreSQL assets package.
- [PostgreSQL assets app](https://docs.atlan.com/llms/connectors/postgresql/postgresql-sdk-references-app-reference/llms.txt): Learn how to crawl PostgreSQL assets and publish them to Atlan for discovery.
- [PostgreSQL miner app](https://docs.atlan.com/llms/connectors/postgresql/postgresql-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from PostgreSQL to generate lineage and usage metrics.
- [Troubleshooting PostgreSQL connectivity](https://docs.atlan.com/llms/connectors/postgresql/troubleshooting-postgresql-connectivity/llms.txt): Symptom-first troubleshooting for PostgreSQL connectivity - SSL and pg_hba rejections, timeouts, IAM authentication, wrong PrivateLink hostname, misleading error wrappers, and miner preflight failures.

#### [SAP ASE](https://docs.atlan.com/llms/connectors/sap-ase/llms.txt)

> Catalog and govern SAP ASE (Sybase ASE) assets in Atlan for discovery and governance.

- [Set up SAP ASE](https://docs.atlan.com/llms/connectors/sap-ase/set-up-sap-ase/llms.txt): Create a least-privilege SAP ASE login and grant the catalog access Atlan needs to crawl metadata.
- [Crawl SAP ASE](https://docs.atlan.com/llms/connectors/sap-ase/crawl-sap-ase/llms.txt): Extract metadata from SAP ASE to catalog databases, schemas, tables, views, columns, stored procedures, and functions in Atlan.
- [How Atlan connects to SAP ASE](https://docs.atlan.com/llms/connectors/sap-ase/how-atlan-connects-to-sap-ase/llms.txt): Understand how Atlan securely connects to your SAP ASE database to extract metadata.
- [What does Atlan crawl from SAP ASE?](https://docs.atlan.com/llms/connectors/sap-ase/what-does-atlan-crawl-from-sap-ase/llms.txt): Metadata Atlan extracts from SAP ASE - databases, schemas, tables, views, columns, stored procedures, and functions - mapped to Atlan assets.
- [Preflight checks for SAP ASE](https://docs.atlan.com/llms/connectors/sap-ase/preflight-checks-for-sap-ase/llms.txt): Before running the SAP ASE crawler, run preflight checks to perform necessary technical validations.

#### [SAP HANA](https://docs.atlan.com/llms/connectors/sap-hana/llms.txt)

> Catalog and govern SAP HANA assets in Atlan for discovery and governance.

- [Set up SAP HANA](https://docs.atlan.com/llms/connectors/sap-hana/set-up-sap-hana/llms.txt): :::warning Who can do this? You will probably need your SAP HANA administrator to run these commands - you may not have access yourself.
- [Crawl SAP HANA](https://docs.atlan.com/llms/connectors/sap-hana/crawl-sap-hana/llms.txt): Extract metadata from SAP HANA to catalog databases, schemas, tables, views, and columns. Discover and govern your enterprise data assets after configuring user permissions.
- [How Atlan connects to SAP HANA](https://docs.atlan.com/llms/connectors/sap-hana/how-atlan-connects-to-sap-hana/llms.txt): Understand how Atlan securely connects to your SAP HANA database to extract metadata.
- [What does Atlan crawl from SAP HANA?](https://docs.atlan.com/llms/connectors/sap-hana/what-does-atlan-crawl-from-sap-hana/llms.txt): During a SAP HANA crawl, Atlan extracts metadata for Schemas, Tables, Views, Calculation Views, Functions, Stored Procedures, and User Defined Functions. Reference tables map each SAP HANA property to its Atlan asset.
- [Preflight checks for SAP HANA](https://docs.atlan.com/llms/connectors/sap-hana/preflight-checks-for-sap-hana/llms.txt): Preflight checks for SAP HANA

#### [Teradata](https://docs.atlan.com/llms/connectors/teradata/llms.txt)

> Catalog and govern Teradata assets in Atlan. Optionally mine query history to build lineage.

- [Set up Teradata](https://docs.atlan.com/llms/connectors/teradata/set-up-teradata/llms.txt): :::warning Who can do this? You need your Teradata administrator to run these commands - you may not have access yourself.
- [Crawl Teradata](https://docs.atlan.com/llms/connectors/teradata/crawl-teradata/llms.txt): Extract metadata from Teradata to catalog databases, tables, views, and columns. Extract query lineage and asset information after configuring user permissions.
- [Mine Teradata](https://docs.atlan.com/llms/connectors/teradata/mine-teradata/llms.txt): Once you have crawled assets from Teradata, you can mine its query history to construct lineage.
- [Set up on-premises Teradata miner access](https://docs.atlan.com/llms/connectors/teradata/set-up-on-premises-teradata-miner-access/llms.txt): In some cases you will not be able to expose your Teradata instance for Atlan to mine query history. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [How Atlan connects to Teradata](https://docs.atlan.com/llms/connectors/teradata/how-atlan-connects-to-teradata/llms.txt): Understand how Atlan securely connects to your Teradata database to extract metadata.
- [What does Atlan crawl from Teradata?](https://docs.atlan.com/llms/connectors/teradata/what-does-atlan-crawl-from-teradata/llms.txt): During a Teradata crawl, Atlan extracts metadata for Schemas, Tables, Views, and Columns. Reference tables map each Teradata property to its Atlan asset.
- [Preflight checks for Teradata](https://docs.atlan.com/llms/connectors/teradata/preflight-checks-for-teradata/llms.txt): Before running the Teradata crawler, you can run preflight checks to perform the necessary technical validations.

#### [Amazon DocumentDB](https://docs.atlan.com/llms/connectors/documentdb/llms.txt)

> Catalog and govern Amazon DocumentDB assets in Atlan for discovery and governance.

- [Set up Amazon DocumentDB](https://docs.atlan.com/llms/connectors/documentdb/set-up-documentdb/llms.txt): Atlan supports basic authentication (SCRAM-SHA-1, username and password) and IAM authentication (MONGODB-AWS) for fetching metadata from Amazon DocumentDB. This guide walks you through creating a crawl user with the permissions Atlan needs.
- [Crawl Amazon DocumentDB](https://docs.atlan.com/llms/connectors/documentdb/crawl-documentdb/llms.txt): Once you have configured Amazon DocumentDB permissions, you can establish a connection between Atlan and your DocumentDB cluster to extract and catalog metadata.
- [How Atlan connects to Amazon DocumentDB](https://docs.atlan.com/llms/connectors/documentdb/how-atlan-connects-to-documentdb/llms.txt): Understand how Atlan securely connects to your Amazon DocumentDB cluster to extract metadata.
- [What does Atlan crawl from Amazon DocumentDB?](https://docs.atlan.com/llms/connectors/documentdb/what-does-atlan-crawl-from-documentdb/llms.txt): Atlan crawls and maps the following assets and properties from Amazon DocumentDB. Atlan currently doesn't support lineage for Amazon DocumentDB assets.
- [Connectivity and deployment](https://docs.atlan.com/llms/connectors/documentdb/connectivity-and-deployment/llms.txt): Frequently asked questions about why Amazon DocumentDB is supported only through Self-Deployed Runtime, why AWS RDS Proxy can't broker the connection, and where to deploy the runtime.
- [Field extraction and schema inference](https://docs.atlan.com/llms/connectors/documentdb/field-extraction-and-schema-inference/llms.txt): Frequently asked questions about Amazon DocumentDB connector field extraction, schema inference, permissions, sampling, TLS, and filters.

#### [Amazon DynamoDB](https://docs.atlan.com/llms/connectors/amazon-dynamodb/llms.txt)

> Integrate, catalog, and govern Amazon DynamoDB assets in Atlan.

- [Set up Amazon DynamoDB](https://docs.atlan.com/llms/connectors/amazon-dynamodb/set-up-amazon-dynamodb/llms.txt): Learn about set up amazon dynamodb.
- [Crawl Amazon DynamoDB](https://docs.atlan.com/llms/connectors/amazon-dynamodb/crawl-amazon-dynamodb/llms.txt): Extract metadata from Amazon DynamoDB to catalog tables, items, and attributes. Extract asset information and column-level details after configuring AWS permissions.
- [What does Atlan crawl from Amazon DynamoDB?](https://docs.atlan.com/llms/connectors/amazon-dynamodb/what-does-atlan-crawl-from-amazon-dynamodb/llms.txt): Atlan crawls and maps the following assets and properties from Amazon DynamoDB. Atlan also currently supports lineage between Amazon DynamoDB as a source to supported data warehouses as destinations, as enriched by Fivetran.
- [DynamoDB assets package](https://docs.atlan.com/llms/connectors/amazon-dynamodb/package-reference/llms.txt): Programmatically crawl and manage Amazon DynamoDB assets in Atlan using the Python SDK (pyatlan). Reference for the DynamoDB assets package.
- [DynamoDB assets app](https://docs.atlan.com/llms/connectors/amazon-dynamodb/amazon-dynamodb-sdk-references-app-reference/llms.txt): Learn how to crawl Amazon DynamoDB assets and publish them to Atlan for discovery.
- [Troubleshooting Amazon DynamoDB connectivity](https://docs.atlan.com/llms/connectors/amazon-dynamodb/troubleshooting-amazon-dynamodb-connectivity/llms.txt): Learn about troubleshooting amazon dynamodb connectivity.

#### [Datastax Enterprise](https://docs.atlan.com/llms/connectors/datastax-enterprise/llms.txt)

> Catalog and govern DataStax Enterprise assets in Atlan. Build asset- and column-level lineage for your distributed data.

- [Set up DataStax Enterprise](https://docs.atlan.com/llms/connectors/datastax-enterprise/set-up-datastax-enterprise/llms.txt): Set up DataStax Enterprise
- [Crawl DataStax Enterprise](https://docs.atlan.com/llms/connectors/datastax-enterprise/crawl-datastax-enterprise/llms.txt): Extract metadata from DataStax Enterprise to catalog databases, tables, columns, and keyspaces. Discover and govern your NoSQL data assets after configuring user permissions.
- [What does Atlan crawl from DataStax Enterprise?](https://docs.atlan.com/llms/connectors/datastax-enterprise/what-does-atlan-crawl-from-datastax-enterprise/llms.txt): What does Atlan crawl from DataStax Enterprise?
- [Preflight checks for DataStax Enterprise](https://docs.atlan.com/llms/connectors/datastax-enterprise/preflight-checks-for-datastax-enterprise/llms.txt): Preflight checks for DataStax Enterprise
- [Troubleshoot permission issues](https://docs.atlan.com/llms/connectors/datastax-enterprise/troubleshooting-datastax-enterprise-connectivity/llms.txt): Learn about troubleshoot permission issues.

#### [Microsoft Azure Cosmos DB](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db/llms.txt)

> Catalog and govern Cosmos DB assets in Atlan for discovery and governance.

- [Set up Microsoft Azure Cosmos DB](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db/set-up-microsoft-azure-cosmos-db/llms.txt): If your Microsoft Azure Cosmos DB deployment includes a mix of vCore- and RU-based accounts, you must configure both to fetch metadata. You can then use the _vCore and RU_ deployment option to crawl your Microsoft Azure Cosmos DB assets.
- [Crawl Microsoft Azure Cosmos DB](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db/crawl-microsoft-azure-cosmos-db/llms.txt): Extract metadata from Microsoft Azure Cosmos DB to catalog databases, containers, and documents. Discover and govern your NoSQL data assets after configuring permissions.
- [What does Atlan crawl from Microsoft Azure Cosmos DB?](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db/what-does-atlan-crawl-from-microsoft-azure-cosmos-db/llms.txt): Once you have crawled Microsoft Azure Cosmos DB, you can use connector-specific filters for quick asset discovery.
- [Troubleshooting Microsoft Azure Cosmos DB connectivity](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db/troubleshooting-microsoft-azure-cosmos-db-connectivity/llms.txt): Learn about troubleshooting microsoft azure cosmos db connectivity.

#### [Microsoft Azure Cosmos DB for NoSQL](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db-for-nosql/llms.txt)

> Catalog and govern Microsoft Azure Cosmos DB for NoSQL assets in Atlan for discovery and governance.

- [Set up Microsoft Azure Cosmos DB for NoSQL](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db-for-nosql/set-up-microsoft-azure-cosmos-db-for-nosql/llms.txt): Set up a Microsoft Entra ID service principal and grant it read-only access to the Cosmos DB for NoSQL accounts you want to catalog.
- [Crawl Microsoft Azure Cosmos DB for NoSQL](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db-for-nosql/crawl-microsoft-azure-cosmos-db-for-nosql/llms.txt): Create a crawler workflow to extract and catalog metadata from your Cosmos DB for NoSQL accounts, databases, containers, and scripts in Atlan.
- [How Atlan connects to Microsoft Azure Cosmos DB for NoSQL](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db-for-nosql/how-atlan-connects-to-microsoft-azure-cosmos-db-for-nosql/llms.txt): Understand how Atlan securely connects to your Microsoft Azure Cosmos DB for NoSQL accounts to extract metadata.
- [What does Atlan crawl from Microsoft Azure Cosmos DB for NoSQL?](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db-for-nosql/what-does-atlan-crawl-from-microsoft-azure-cosmos-db-for-nosql/llms.txt): Assets and metadata that Atlan extracts from Microsoft Azure Cosmos DB for NoSQL during metadata extraction.
- [Preflight checks for Microsoft Azure Cosmos DB for NoSQL](https://docs.atlan.com/llms/connectors/microsoft-azure-cosmos-db-for-nosql/preflight-checks-for-microsoft-azure-cosmos-db-for-nosql/llms.txt): Before running the Microsoft Azure Cosmos DB for NoSQL crawler, run preflight checks to perform the necessary technical validations.

#### [MongoDB — Atlas](https://docs.atlan.com/llms/connectors/mongodb/llms.txt)

> Catalog and govern MongoDB Atlas assets in Atlan for discovery and governance.

- [Set up MongoDB Atlas](https://docs.atlan.com/llms/connectors/mongodb/set-up-mongodb/llms.txt): Atlan supports the basic authentication method for fetching metadata from MongoDB. This method uses a username and password to fetch metadata
- [Crawl MongoDB Atlas](https://docs.atlan.com/llms/connectors/mongodb/crawl-mongodb/llms.txt): Configure MongoDB Atlas connection and run the crawler to extract metadata from MongoDB into Atlan.
- [How Atlan connects to MongoDB Atlas](https://docs.atlan.com/llms/connectors/mongodb/how-atlan-connects-to-mongodb-atlas/llms.txt): Understand how Atlan securely connects to your MongoDB Atlas cluster to extract metadata.
- [What does Atlan crawl from MongoDB Atlas?](https://docs.atlan.com/llms/connectors/mongodb/what-does-atlan-crawl-from-mongodb/llms.txt): During a MongoDB crawl, Atlan extracts metadata for Databases, Collections, and Columns. Reference tables map each MongoDB property to its Atlan asset.
- [Preflight checks for MongoDB Atlas](https://docs.atlan.com/llms/connectors/mongodb/preflight-checks-for-mongodb-atlas/llms.txt): Before running the MongoDB Atlas crawler, you can run preflight checks to verify the connected user has the required MongoDB privileges for metadata extraction.
- [MongoDB assets package](https://docs.atlan.com/llms/connectors/mongodb/package-reference/llms.txt): Programmatically crawl and manage MongoDB assets in Atlan using the Python SDK (pyatlan). Reference for the MongoDB assets package.
- [MongoDB assets app](https://docs.atlan.com/llms/connectors/mongodb/mongodb-sdk-references-app-reference/llms.txt): Learn how to crawl MongoDB Atlas assets and publish them to Atlan for discovery.
- [Troubleshooting MongoDB Atlas connectivity](https://docs.atlan.com/llms/connectors/mongodb/troubleshooting-mongodb-connectivity/llms.txt): Learn about troubleshooting MongoDB Atlas connectivity.

#### [MongoDB — Self-managed](https://docs.atlan.com/llms/connectors/mongodb-onprem/llms.txt)

> Catalog and govern MongoDB assets in Atlan for discovery and governance.

- [Set up MongoDB (self-managed)](https://docs.atlan.com/llms/connectors/mongodb-onprem/set-up-mongodb-onprem/llms.txt): Atlan supports SCRAM authentication (SCRAM-SHA-1 and SCRAM-SHA-256) for fetching metadata from MongoDB. This method uses a username and password to fetch metadata.
- [Crawl MongoDB (self-managed)](https://docs.atlan.com/llms/connectors/mongodb-onprem/crawl-mongodb-onprem/llms.txt): Once you have configured the MongoDB permissions, you can establish a connection between Atlan and MongoDB.
- [How Atlan connects to MongoDB (self-managed)](https://docs.atlan.com/llms/connectors/mongodb-onprem/how-atlan-connects-to-mongodb-onprem/llms.txt): Understand how Atlan securely connects to your MongoDB (self-managed) database to extract metadata.
- [What does Atlan crawl from MongoDB (self-managed)?](https://docs.atlan.com/llms/connectors/mongodb-onprem/what-does-atlan-crawl-from-mongodb-onprem/llms.txt): Atlan crawls and maps the following assets and properties from MongoDB (self-managed). Atlan currently doesn't support lineage for MongoDB (self-managed) assets.
- [Field extraction and schema inference](https://docs.atlan.com/llms/connectors/mongodb-onprem/field-extraction-and-schema-inference/llms.txt): Frequently asked questions about MongoDB (self-managed) connector field extraction, schema inference, permissions, sampling, and configuration.

#### [Amazon Athena](https://docs.atlan.com/llms/connectors/amazon-athena/llms.txt)

> Integrate, catalog, and govern Amazon Athena assets in Atlan.

- [Set up Amazon Athena](https://docs.atlan.com/llms/connectors/amazon-athena/set-up-amazon-athena/llms.txt): Learn about set up amazon athena.
- [Choose how Atlan connects to Amazon Athena](https://docs.atlan.com/llms/connectors/amazon-athena/choose-how-atlan-connects-to-amazon-athena/llms.txt): Pick the right AWS identity type and network path for Atlan to connect to Amazon Athena - IAM access keys, IAM role delegation, or either with AWS PrivateLink.
- [Connect with IAM role (recommended)](https://docs.atlan.com/llms/connectors/amazon-athena/connect-with-an-iam-role/llms.txt): Set up cross-account IAM role delegation so Atlan connects to Amazon Athena with temporary credentials and no stored secret.
- [Connect with IAM access keys](https://docs.atlan.com/llms/connectors/amazon-athena/connect-with-iam-access-keys/llms.txt): The fastest path to connect Atlan to Amazon Athena - create a dedicated IAM user, attach the Atlan policy, and paste its access keys into Atlan.
- [Permissions & S3 results bucket](https://docs.atlan.com/llms/connectors/amazon-athena/permissions-and-the-s3-results-bucket/llms.txt): The complete permission surface an Amazon Athena connection needs - including Lake Formation, KMS, and the S3 results bucket that cause most "test passed, crawl failed" issues.
- [Special cases](https://docs.atlan.com/llms/connectors/amazon-athena/special-cases/llms.txt): Amazon Athena special cases - PrivateLink, cross-account Glue catalogs, cross-region sources, very large catalogs, and multiple Atlan tenants.
- [Set up a private network link to Amazon Athena](https://docs.atlan.com/llms/connectors/amazon-athena/set-up-a-private-network-link-to-amazon-athena/llms.txt): :::warning Who can do this? You will need your Amazon Athena or AWS administrator involved - you may not have access yourself to complete these steps.
- [Crawl Amazon Athena](https://docs.atlan.com/llms/connectors/amazon-athena/crawl-amazon-athena/llms.txt): To crawl metadata from Amazon Athena, review the order of operations and then complete the following steps.
- [What does Atlan crawl from Amazon Athena?](https://docs.atlan.com/llms/connectors/amazon-athena/what-does-atlan-crawl-from-amazon-athena/llms.txt): During an Amazon Athena crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Columns. Reference tables map each Athena property to its Atlan asset.
- [Athena assets package](https://docs.atlan.com/llms/connectors/amazon-athena/package-reference/llms.txt): Programmatically crawl and manage Amazon Athena assets in Atlan using the Python SDK (pyatlan). Reference for the Athena assets package.
- [Athena assets app](https://docs.atlan.com/llms/connectors/amazon-athena/amazon-athena-sdk-references-app-reference/llms.txt): Learn how to crawl Amazon Athena assets and publish them to Atlan for discovery.
- [How IAM role delegation works](https://docs.atlan.com/llms/connectors/amazon-athena/how-iam-role-delegation-works/llms.txt): Learn how Atlan borrows an identity in your AWS account for Amazon Athena, why there are two halves to set up, and the four traffic paths a healthy connection uses.
- [Troubleshooting Athena connectivity](https://docs.atlan.com/llms/connectors/amazon-athena/troubleshooting-athena-connectivity/llms.txt): Symptom-first troubleshooting for Amazon Athena connectivity - role authentication failures, JDBC timeouts, permission gaps, platform-side signatures, and sudden breakage.

#### [Cloudera Impala](https://docs.atlan.com/llms/connectors/cloudera-impala/llms.txt)

> Integrate, catalog, and govern Cloudera Impala assets in Atlan.

- [Set up Cloudera Impala](https://docs.atlan.com/llms/connectors/cloudera-impala/set-up-cloudera-impala/llms.txt): Learn about set up cloudera impala.
- [Crawl Cloudera Impala](https://docs.atlan.com/llms/connectors/cloudera-impala/crawl-cloudera-impala/llms.txt): Crawl metadata from Cloudera Impala to catalog databases, tables, views, and columns. Extract query lineage and asset information after configuring user permissions.
- [What does Atlan crawl from Cloudera Impala?](https://docs.atlan.com/llms/connectors/cloudera-impala/what-does-atlan-crawl-from-cloudera-impala/llms.txt): Learn about what does atlan crawl from cloudera impala?.
- [Preflight Checks for Cloudera Impala](https://docs.atlan.com/llms/connectors/cloudera-impala/preflight-checks-for-cloudera-impala/llms.txt): Learn about preflight checks for cloudera impala.

#### [Hive](https://docs.atlan.com/llms/connectors/hive/llms.txt)

> Catalog and govern Hive assets in Atlan for discovery and governance.

- [Set up Hive](https://docs.atlan.com/llms/connectors/hive/set-up-hive/llms.txt): Configure permissions and authentication for Hive to enable metadata extraction in Atlan.
- [Set up a private network link to Hive](https://docs.atlan.com/llms/connectors/hive/set-up-a-private-network-link-to-hive/llms.txt): Once the Atlan team has confirmed the configuration is ready, please continue with the remaining steps.
- [Crawl Hive](https://docs.atlan.com/llms/connectors/hive/crawl-hive/llms.txt): Extract metadata from Hive to catalog databases, tables, views, and columns. Extract lineage and asset information after configuring user permissions.
- [How Atlan connects to Hive](https://docs.atlan.com/llms/connectors/hive/how-atlan-connects-to-hive/llms.txt): Understand how Atlan securely connects to your Hive database to extract metadata, with support for multiple authentication methods and deployment modes.
- [What does Atlan crawl from Hive?](https://docs.atlan.com/llms/connectors/hive/what-does-atlan-crawl-from-hive/llms.txt): During a Hive crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, Materialized Views, and Columns. Reference tables map each Hive property to its Atlan asset.
- [Preflight checks for Hive](https://docs.atlan.com/llms/connectors/hive/preflight-checks-for-hive/llms.txt): Before running the Hive crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Hive connectivity](https://docs.atlan.com/llms/connectors/hive/troubleshooting-hive-connectivity/llms.txt): Resolve common Hive connection issues including authentication failures, Kerberos errors, TLS/MTLS certificate problems, and network connectivity issues.

#### [PrestoSQL](https://docs.atlan.com/llms/connectors/prestosql/llms.txt)

> Integrate, catalog, and govern PrestoSQL assets in Atlan.

- [Set up PrestoSQL](https://docs.atlan.com/llms/connectors/prestosql/set-up-prestosql/llms.txt): Learn about set up prestosql.
- [Crawl PrestoSQL](https://docs.atlan.com/llms/connectors/prestosql/crawl-prestosql/llms.txt): Once you have configured the PrestoSQL user permissions, you can establish a connection between Atlan and PrestoSQL.
- [What does Atlan crawl from PrestoSQL?](https://docs.atlan.com/llms/connectors/prestosql/what-does-atlan-crawl-from-prestosql/llms.txt): Atlan crawls and maps the following assets and properties from PrestoSQL.
- [Preflight checks for PrestoSQL](https://docs.atlan.com/llms/connectors/prestosql/preflight-checks-for-prestosql/llms.txt): Before running the PrestoSQL crawler, you can run preflight checks to perform the necessary technical validations.

#### [Starburst Enterprise](https://docs.atlan.com/llms/connectors/starburst-enterprise/llms.txt)

> Integrate, catalog, and govern Starburst Enterprise assets in Atlan.

- [Set up Starburst Enterprise](https://docs.atlan.com/llms/connectors/starburst-enterprise/set-up-starburst-enterprise/llms.txt): Configure authentication and permissions for Starburst Enterprise to enable Atlan to crawl metadata from your instance.
- [Crawl Starburst Enterprise](https://docs.atlan.com/llms/connectors/starburst-enterprise/crawl-starburst-enterprise/llms.txt): Crawl metadata from Starburst Enterprise to catalog catalogs, schemas, tables, and data products. Extract domain definitions and lineage information after configuring user permissions.
- [How Atlan connects to Starburst Enterprise](https://docs.atlan.com/llms/connectors/starburst-enterprise/how-atlan-connects-to-starburst-enterprise/llms.txt): Understand how Atlan securely connects to your Starburst Enterprise instance to extract metadata.
- [Starburst Enterprise - Data Product integration](https://docs.atlan.com/llms/connectors/starburst-enterprise/data-product-integration/llms.txt): Understand how Atlan extracts and links Starburst Enterprise domains, data products, and datasets alongside SQL assets.
- [What does Atlan crawl from Starburst Enterprise?](https://docs.atlan.com/llms/connectors/starburst-enterprise/what-does-atlan-crawl-from-starburst-enterprise/llms.txt): Atlan crawls and maps the following assets and properties from Starburst Enterprise.
- [Preflight checks for Starburst Enterprise](https://docs.atlan.com/llms/connectors/starburst-enterprise/preflight-checks-for-starburst-enterprise/llms.txt): Before running the Starburst Enterprise crawler, you can run preflight checks to perform the necessary technical validations.
- [Starburst Enterprise FAQ](https://docs.atlan.com/llms/connectors/starburst-enterprise/starburst-enterprise-connector-limitations/llms.txt): Frequently asked questions and troubleshooting for the Starburst Enterprise connector in Atlan.

#### [Trino](https://docs.atlan.com/llms/connectors/trino/llms.txt)

> Integrate, catalog, and govern Trino assets in Atlan.

- [Set up Trino](https://docs.atlan.com/llms/connectors/trino/set-up-trino/llms.txt): Configure authentication and permissions for Trino to enable Atlan to crawl metadata from your database.
- [Crawl Trino](https://docs.atlan.com/llms/connectors/trino/crawl-trino/llms.txt): Crawl metadata from Trino to catalog schemas, tables, views, and columns. Extract distributed query lineage and asset information after configuring user permissions.
- [Set up a private network link to Trino](https://docs.atlan.com/llms/connectors/trino/set-up-a-private-network-link-to-trino/llms.txt): :::warning Who can do this? You will need your AWS administrator involved - you may not have access to run these tasks yourself.
- [What does Atlan crawl from Trino?](https://docs.atlan.com/llms/connectors/trino/what-does-atlan-crawl-from-trino/llms.txt): Atlan crawls and maps the following assets and properties from Trino.
- [Preflight checks for Trino](https://docs.atlan.com/llms/connectors/trino/preflight-checks-for-trino/llms.txt): Before running the Trino crawler, you can run preflight checks to perform the necessary technical validations.
- [Trino app image and versioning](https://docs.atlan.com/llms/connectors/trino/trino-app-image-and-versioning/llms.txt): Identify the container image behind the Trino assets app, understand how it's versioned, and find the exact version deployed for your tenant.
- [Connectivity issues](https://docs.atlan.com/llms/connectors/trino/troubleshooting-trino-connectivity/llms.txt): Troubleshoot Trino connectivity with error, cause, and solution guidance.
- [Trino connector limitations](https://docs.atlan.com/llms/connectors/trino/trino-connector-limitations/llms.txt): Known limitations and behaviors of the Trino connector in Atlan.

#### [On-premises Databases](https://docs.atlan.com/llms/connectors/on-premises-databases/llms.txt)

> Extract metadata from on-premises databases using Atlan's metadata-extractor tool. Securely upload metadata to S3 for ingestion into Atlan—no direct connection required.

- [Set up on-premises database access](https://docs.atlan.com/llms/connectors/on-premises-databases/set-up-on-premises-database-access/llms.txt): In such cases you may want to decouple the extraction of metadata from its ingestion in Atlan. This approach gives you full control over your resources and metadata transfer to Atlan.
- [Connect on-premises databases to Kubernetes](https://docs.atlan.com/llms/connectors/on-premises-databases/connect-on-premises-databases-to-kubernetes/llms.txt): You can configure and use Atlan's metadata-extractor tool to extract metadata from on-premises databases with Kubernetes deployment architecture, as an alternative to using Docker Compose.
- [Crawl on-premises databases](https://docs.atlan.com/llms/connectors/on-premises-databases/crawl-on-premises-databases/llms.txt): Extract metadata from on-premises databases to catalog tables, schemas, and views. Discover and govern your database assets after configuring the metadata-extractor tool.
- [Supported connections for on-premises databases](https://docs.atlan.com/llms/connectors/on-premises-databases/supported-connections-for-on-premises-databases/llms.txt): The metadata-extractor tool supports the following connection types.
- [Troubleshooting on-premises database connectivity](https://docs.atlan.com/llms/connectors/on-premises-databases/troubleshooting-on-premises-database-connectivity/llms.txt): Learn about troubleshooting on-premises database connectivity.

### Data Governance

#### [AWS SageMaker Unified Studio](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/llms.txt)

> Integrate, catalog, and govern AWS SageMaker Unified Studio assets in Atlan.

- [Set up AWS SageMaker Unified Studio](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/set-up-aws-sagemaker-unified-studio/llms.txt): Configure AWS authentication and IAM credentials to enable Atlan to integrate with AWS DataZone and SageMaker Catalog Unified Studio.
- [Crawl AWS SageMaker Unified Studio](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/crawl-aws-sagemaker-unified-studio/llms.txt): Configure and run the SMUS Catalog crawler to extract assets, metadata, and lineage from SMUS and catalog and enrich them in Atlan.
- [Bidirectional metadata sync](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/bidirectional-metadata-sync/llms.txt): Understand how Atlan synchronizes metadata bidirectionally with AWS SageMaker Unified Studio, including reverse sync capabilities.
- [Domain-assets linking](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/domain-assets-linking/llms.txt): Link AWS SageMaker Unified Studio assets to Atlan Data Domains for unified governance.
- [PrivateLink connectivity](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/privatelink-connectivity/llms.txt): Understand how AWS PrivateLink ensures all metadata traffic between Atlan and AWS SageMaker Unified Studio stays within the AWS private network.
- [What does Atlan crawl from SMUS Catalog?](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/what-does-atlan-crawl-from-smus-catalog/llms.txt): Atlan crawls and maps the following assets from SageMaker Catalog Unified Studio.
- [Preflight checks for Amazon SageMaker Unified Studio](https://docs.atlan.com/llms/connectors/aws-sagemaker-unified-studio/preflight-checks-for-aws-sagemaker-unified-studio/llms.txt): Before crawling Amazon SageMaker Unified Studio, you can run preflight checks to perform the necessary technical validations.

#### [Google Knowledge Catalog](https://docs.atlan.com/llms/connectors/knowledge-catalog/llms.txt)

> Integrate, catalog, and govern Google Knowledge Catalog assets in Atlan.

- [Set up Google Cloud Knowledge Catalog](https://docs.atlan.com/llms/connectors/knowledge-catalog/set-up-knowledge-catalog/llms.txt): Configure Google Cloud Knowledge Catalog connection and authentication by creating a service account with required permissions, or using Workload Identity Federation.
- [Crawl Google Cloud Knowledge Catalog](https://docs.atlan.com/llms/connectors/knowledge-catalog/crawl-knowledge-catalog/llms.txt): Configure and run the crawler to extract metadata from Google Cloud Knowledge Catalog.
- [What does Atlan crawl from Google Cloud Knowledge Catalog](https://docs.atlan.com/llms/connectors/knowledge-catalog/what-does-atlan-crawl-from-knowledge-catalog/llms.txt): Learn what metadata Atlan crawls from Google Cloud Knowledge Catalog.
- [Troubleshooting Knowledge Catalog connection and authentication issues](https://docs.atlan.com/llms/connectors/knowledge-catalog/connection-and-authentication-issues/llms.txt): Resolve common connection and authentication issues when connecting Atlan to Google Cloud Knowledge Catalog.

### Data Lakehouses

#### [Dremio](https://docs.atlan.com/llms/connectors/dremio/llms.txt)

> Integrate, catalog, and govern Dremio assets in Atlan.

- [Set up Dremio](https://docs.atlan.com/llms/connectors/dremio/set-up-dremio/llms.txt): Configure Dremio connection and authentication for Atlan integration.
- [Crawl Dremio](https://docs.atlan.com/llms/connectors/dremio/crawl-dremio/llms.txt): Crawl metadata from Dremio to catalog physical datasets, virtual datasets, folders, and spaces. Extract lineage and asset information from your data lakehouse.
- [What does Atlan crawl from Dremio](https://docs.atlan.com/llms/connectors/dremio/what-does-atlan-crawl-from-dremio/llms.txt): Learn what assets and metadata Atlan crawls from Dremio data lakehouse.
- [Preflight checks for Dremio](https://docs.atlan.com/llms/connectors/dremio/preflight-checks-for-dremio/llms.txt): Technical validations performed before crawling Dremio data lakehouse resources.
- [Connection and authentication issues](https://docs.atlan.com/llms/connectors/dremio/connection-and-authentication-issues/llms.txt): Troubleshoot Dremio connection and authentication issues with error, cause, and solution guidance.

#### [Iceberg](https://docs.atlan.com/llms/connectors/iceberg/llms.txt)

> Integrate, catalog, and govern Apache Iceberg assets in Atlan.

- [Set up Iceberg](https://docs.atlan.com/llms/connectors/iceberg/set-up-iceberg/llms.txt): Configure Generic REST Catalog and BigLake Metastore authentication for Iceberg integration in Atlan.
- [Crawl Iceberg](https://docs.atlan.com/llms/connectors/iceberg/crawl-iceberg/llms.txt): Crawl metadata from Iceberg to catalog tables, namespaces, and columns. Extract table metadata and lineage from your Iceberg data lakehouse catalogs.
- [How Atlan connects to Iceberg](https://docs.atlan.com/llms/connectors/iceberg/how-atlan-connects-to-iceberg/llms.txt): Understand how Atlan securely connects to your Iceberg REST catalog to extract metadata.
- [What does Atlan crawl from Iceberg](https://docs.atlan.com/llms/connectors/iceberg/what-does-atlan-crawl-from-iceberg/llms.txt): Learn what assets and metadata Atlan crawls from Iceberg data lakehouse.
- [Preflight checks for Iceberg](https://docs.atlan.com/llms/connectors/iceberg/preflight-checks-for-iceberg/llms.txt): Technical validations performed before crawling Iceberg data lakehouse resources.

### Data Warehouses

#### [Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/llms.txt)

> Integrate, catalog, and govern Amazon Redshift assets in Atlan.

- [Choose how Atlan connects to Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/choose-how-atlan-connects-to-amazon-redshift/llms.txt): Compare the three ways Atlan can reach your Amazon Redshift cluster or Serverless workgroup - public IP allowlisting, the AWS private network link, and the self-deployed agent.
- [Firewall & IP allowlisting](https://docs.atlan.com/llms/connectors/amazon-redshift/firewall-and-ip-allowlisting/llms.txt): Allow Atlan's fixed source IPs through your security group so crawlers and miners can connect to publicly accessible Amazon Redshift clusters and workgroups.
- [How private network links work](https://docs.atlan.com/llms/connectors/amazon-redshift/how-the-private-network-link-works/llms.txt): Learn how Redshift-managed VPC endpoints work, who builds which half, and the three traffic paths between Atlan and Amazon Redshift.
- [Set up AWS private network link to Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/set-up-a-private-network-link-to-amazon-redshift/llms.txt): Connect Atlan to a private Amazon Redshift cluster over a Redshift-managed VPC endpoint, so traffic never crosses the public internet.
- [Special cases: Serverless & more](https://docs.atlan.com/llms/connectors/amazon-redshift/special-cases-serverless-and-more/llms.txt): Amazon Redshift Serverless, DC2 clusters, multiple clusters, cross-region and cross-cloud tenants, external (Glue/Spectrum) schemas, and sources reachable only from inside your network.
- [Set up access and authentication](https://docs.atlan.com/llms/connectors/amazon-redshift/set-up-access-and-authentication/llms.txt): Create the database user Atlan connects to Amazon Redshift as, grant it read permissions, and choose one of the three authentication methods.
- [Set up Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/set-up-amazon-redshift/llms.txt): Grant permissions and configure authentication for Atlan to connect to and crawl metadata from Amazon Redshift.
- [Enable SSO for Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/enable-sso-for-amazon-redshift/llms.txt): Configure Okta SSO authentication for Amazon Redshift connections in Atlan, including Okta app setup, AWS identity provider configuration, and Atlan connection settings.
- [Configure ADFS authentication for Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/adfs-redshift-access/llms.txt): Configure ADFS authentication for Amazon Redshift connections using ADFS (Active Directory Federation Services) as the identity provider.
- [Crawl Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/crawl-amazon-redshift/llms.txt): Once you have configured the Amazon Redshift access permissions, you can establish a connection between Atlan and Amazon Redshift.
- [Mine Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/mine-amazon-redshift/llms.txt): Once you have crawled assets from Amazon Redshift, you can mine its query history to construct lineage and retrieve usage and popularity metrics.
- [What does Atlan crawl from Amazon Redshift?](https://docs.atlan.com/llms/connectors/amazon-redshift/what-does-atlan-crawl-from-amazon-redshift/llms.txt): During an Amazon Redshift crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Columns. Reference tables map each Redshift property to its Atlan asset.
- [Preflight checks for Amazon Redshift](https://docs.atlan.com/llms/connectors/amazon-redshift/preflight-checks-for-amazon-redshift/llms.txt): Before running the Amazon Redshift crawler, run preflight checks to verify connectivity, schema access, and miner permissions. Each check maps to a specific error message and fix.
- [Redshift assets package](https://docs.atlan.com/llms/connectors/amazon-redshift/package-reference/llms.txt): Programmatically crawl and manage Amazon Redshift assets in Atlan using the Python SDK (pyatlan). Reference for the Redshift assets package.
- [Troubleshooting Amazon Redshift connectivity](https://docs.atlan.com/llms/connectors/amazon-redshift/troubleshooting-amazon-redshift-connectivity/llms.txt): Symptom-first troubleshooting for Amazon Redshift connectivity - timeouts, IAM policy scope, role trust, DNS, password failures, Serverless quirks, and sudden breakage.

#### [Databricks](https://docs.atlan.com/llms/connectors/databricks/llms.txt)

> Integrate, catalog, and govern Databricks assets in Atlan.

- [How Atlan connects to Databricks](https://docs.atlan.com/llms/connectors/databricks/choose-how-atlan-connects-to-databricks/llms.txt): Understand the three connectivity paths between Atlan and Databricks—public, Private Link, and site-to-site VPN—and what determines which one applies to your workspace.
- [How to set up Databricks in Atlan](https://docs.atlan.com/llms/connectors/databricks/set-up-databricks/llms.txt): Set up Databricks for Atlan using one of three supported authentication methods—personal access token, service principal, or OAuth—to connect Atlan to your Databricks workspace.
- [Enable SSO for Databricks](https://docs.atlan.com/llms/connectors/databricks/enable-sso-for-databricks/llms.txt): Set up OAuth SSO authentication for Databricks connections in Atlan.
- [Set up cross-workspace extraction](https://docs.atlan.com/llms/connectors/databricks/set-up-cross-workspace-extraction/llms.txt): Configure a single service principal to crawl metadata from all workspaces within a Databricks metastore using system tables
- [Set up AWS private network link to Databricks](https://docs.atlan.com/llms/connectors/databricks/aws-private-link-to-databricks/llms.txt): Connect Atlan to an AWS-hosted Databricks workspace over AWS PrivateLink, so traffic never crosses the public internet.
- [Set up Azure private network link to Databricks](https://docs.atlan.com/llms/connectors/databricks/azure-private-link-to-databricks/llms.txt): Connect Atlan to an Azure Databricks workspace over Azure Private Link, including the endpoint approval handshake and the NSG rule.
- [How to crawl Databricks in Atlan](https://docs.atlan.com/llms/connectors/databricks/crawl-databricks/llms.txt): Crawl metadata from Databricks in Atlan to catalog tables, schemas, views, and volumes. Configure access permissions and authentication before extracting lineage and column information.
- [Crawl Databricks AI models](https://docs.atlan.com/llms/connectors/databricks/crawl-databricks-ai-models/llms.txt): Discover and catalog AI models registered in the Databricks Unity Catalog Model Registry using Atlan's Databricks connector.
- [Crawl Databricks AI/BI dashboards](https://docs.atlan.com/llms/connectors/databricks/crawl-databricks-ai-bi-dashboards/llms.txt): Discover and catalog Databricks AI/BI (Lakeview) dashboards using Atlan's Databricks connector.
- [Extract lineage and usage from Databricks](https://docs.atlan.com/llms/connectors/databricks/extract-lineage-and-usage-from-databricks/llms.txt): Retrieve lineage from Unity Catalog and usage and popularity metrics from query history or system tables using REST API, offline, or system table extraction methods.
- [Extract Databricks AI model lineage](https://docs.atlan.com/llms/connectors/databricks/extract-databricks-ai-model-lineage/llms.txt): Build upstream lineage between Databricks AI models and the datasets, tables, and functions they depend on.
- [Extract Databricks dashboard lineage](https://docs.atlan.com/llms/connectors/databricks/extract-databricks-dashboard-lineage/llms.txt): Build lineage from Databricks AI/BI dashboards to the Unity Catalog tables, columns, and metric views they read, and populate dashboard usage metrics.
- [Manage Databricks tags](https://docs.atlan.com/llms/connectors/databricks/manage-databricks-tags/llms.txt): You must have a Unity Catalog-enabled workspace and SQL warehouse configured to import Databricks tags in Atlan.
- [Push description updates to Databricks](https://docs.atlan.com/llms/connectors/databricks/push-description-updates-to-databricks/llms.txt): Enable reverse sync to push asset descriptions authored in Atlan back to Databricks as comments.
- [Grant query text access for Databricks](https://docs.atlan.com/llms/connectors/databricks/grant-query-text-access/llms.txt): Add Atlan's service principal to the databricks_pii_access group to restore query text after Databricks masks it by default.
- [Set up on-premises Databricks access](https://docs.atlan.com/llms/connectors/databricks/set-up-on-premises-databricks-access/llms.txt): The Docker-based databricks-extractor offline tool has been sunset. For on-premises or network-restricted Databricks environments, use Self-Deployed Runtime, Secure Agent, or direct connectivity via private link.
- [Crawl on-premises Databricks](https://docs.atlan.com/llms/connectors/databricks/crawl-on-premises-databricks/llms.txt): The Docker-based databricks-extractor offline tool has been sunset. For on-premises or network-restricted Databricks environments, use Self-Deployed Runtime, Secure Agent, or direct connectivity via private link.
- [Set up on-premises Databricks lineage extraction](https://docs.atlan.com/llms/connectors/databricks/set-up-on-premises-databricks-lineage-extraction/llms.txt): The Docker-based databricks-extractor offline tool has been sunset. For on-premises or network-restricted Databricks lineage extraction, use Self-Deployed Runtime, Secure Agent, or direct connectivity via private link.
- [Extract on-premises Databricks lineage](https://docs.atlan.com/llms/connectors/databricks/extract-on-premises-databricks-lineage/llms.txt): The Docker-based databricks-extractor offline tool has been sunset. For on-premises or network-restricted Databricks lineage extraction, use Self-Deployed Runtime, Secure Agent, or direct connectivity via private link.
- [How private connectivity works](https://docs.atlan.com/llms/connectors/databricks/how-private-connectivity-works/llms.txt): A plain-language explanation of what a private link to Databricks is, who builds which half, and the three traffic paths between Atlan and Databricks.
- [Lineage freshness strategies](https://docs.atlan.com/llms/connectors/databricks/lineage-freshness-strategies/llms.txt): Understand how Atlan filters Databricks lineage data to show only valid lineage relationships.
- [What does Atlan crawl from Databricks?](https://docs.atlan.com/llms/connectors/databricks/what-does-atlan-crawl-from-databricks/llms.txt): During a Databricks crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, Materialized Views, Volumes, External Locations, and AI Models. Reference tables map each Databricks property to its Atlan asset.
- [Preflight checks for Databricks](https://docs.atlan.com/llms/connectors/databricks/preflight-checks-for-databricks/llms.txt): Before running the Databricks crawler, you can run preflight checks to perform the necessary technical validations.
- [Databricks app image and versioning](https://docs.atlan.com/llms/connectors/databricks/databricks-app-image-and-versioning/llms.txt): Identify the container image used for the Databricks assets app, understand its versioning, and find the exact version assigned to your tenant.
- [Permissions for Databricks AI models](https://docs.atlan.com/llms/connectors/databricks/permissions-for-databricks-ai-models/llms.txt): Full reference of the privileges required to crawl AI models and extract lineage from Databricks Unity Catalog, including what each privilege enables and how to grant it.
- [Permissions for Databricks AI/BI dashboards](https://docs.atlan.com/llms/connectors/databricks/permissions-for-databricks-ai-bi-dashboards/llms.txt): Full reference of the privileges required to crawl Databricks AI/BI dashboards and extract their lineage and usage metrics, including what each privilege enables and how to grant it.
- [Allowing Atlan IPs in Databricks](https://docs.atlan.com/llms/connectors/databricks/allowlist-atlan-ips-in-databricks/llms.txt): Add Atlan's addresses to your Databricks workspace IP access list (or a corporate firewall in the path) so crawlers and miners can connect.
- [Databricks assets package](https://docs.atlan.com/llms/connectors/databricks/package-reference/llms.txt): Programmatically crawl and manage Databricks assets in Atlan using the Python SDK (pyatlan). Reference for the Databricks assets package.
- [Databricks assets app](https://docs.atlan.com/llms/connectors/databricks/databricks-sdk-references-app-reference/llms.txt): Learn how to crawl Databricks assets and publish them to Atlan for discovery.
- [Databricks miner app](https://docs.atlan.com/llms/connectors/databricks/databricks-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Databricks to generate lineage and usage metrics.
- [Databricks miner package](https://docs.atlan.com/llms/connectors/databricks/miner-reference/llms.txt): Programmatically extract lineage and usage from Databricks in Atlan using the Python SDK (pyatlan).
- [Databricks connectivity](https://docs.atlan.com/llms/connectors/databricks/troubleshooting-databricks-connectivity/llms.txt): Troubleshoot Databricks connectivity, covering network and private-link issues, authentication, permissions, extraction, and metadata questions.
- [Cross-workspace extraction issues](https://docs.atlan.com/llms/connectors/databricks/cross-workspace-extraction-issues/llms.txt): Troubleshoot common issues in Databricks cross-workspace extraction with error, cause, and solution guidance.
- [Special cases in Databricks connectivity](https://docs.atlan.com/llms/connectors/databricks/databricks-connectivity-special-cases/llms.txt): Multiple workspaces, extra hostnames and custom ports, cross-cloud and cross-region setups, site-to-site VPNs, and the reversed traffic of lakehouse and MCP integrations.
- [Cross-workspace extraction](https://docs.atlan.com/llms/connectors/databricks/cross-workspace-extraction/llms.txt): Frequently asked questions about Databricks cross-workspace extraction setup and configuration.
- [Atlan vs Databricks lineage](https://docs.atlan.com/llms/connectors/databricks/atlan-vs-databricks-lineage/llms.txt): Frequently asked questions about how Atlan lineage differs from Databricks native lineage.
- [How Atlan builds lineage for Databricks AI models](https://docs.atlan.com/llms/connectors/databricks/how-databricks-ai-model-lineage-works/llms.txt): Frequently asked questions about how Atlan constructs lineage for Databricks AI models, including lineage sources, relationships created, and asset behavior.
- [How Atlan builds lineage for Databricks dashboards](https://docs.atlan.com/llms/connectors/databricks/how-databricks-dashboard-lineage-works/llms.txt): Frequently asked questions about how Atlan constructs lineage for Databricks AI/BI dashboards, including lineage sources, relationships created, and known limits.
- [Query text access in Databricks](https://docs.atlan.com/llms/connectors/databricks/databricks-sql-masking-change/llms.txt): What Databricks's SQL query text masking change affects in Atlan, what it doesn't affect, and how to keep query-text features running.
- [Description reverse sync delays](https://docs.atlan.com/llms/connectors/databricks/description-reverse-sync-delays/llms.txt): Frequently asked questions about timing and delays when pushing Databricks description updates from Atlan.

#### [Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/llms.txt)

> Integrate, catalog, and govern Google BigQuery assets in Atlan.

- [Set up Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/set-up-google-bigquery/llms.txt): You must be a Google BigQuery administrator to run these commands. For more information, see Google Cloud's Granting, changing, and revoking access to resources.
- [Set up Workload Identity Federation](https://docs.atlan.com/llms/connectors/google-bigquery/set-up-workload-identity-federation/llms.txt): Configure Workload Identity Federation (WIF) to enable Atlan to authenticate with Google BigQuery without using service account keys.
- [Enable SSO for Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/enable-sso-for-google-bigquery/llms.txt): Credentials are used to obtain an access token from Google's authorization servers for authentication in Atlan.
- [Choose how Atlan connects to Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/choose-how-atlan-connects-to-google-bigquery/llms.txt): Pick the network path and authentication method Atlan uses to reach Google BigQuery - public API endpoint or Private Service Connect, service account key or Workload Identity Federation.
- [Set up authentication for Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/set-up-authentication-for-google-bigquery/llms.txt): Set up the service account Atlan connects to Google BigQuery as, and choose between a service account JSON key and Workload Identity Federation.
- [Set up Google Private Service Connect](https://docs.atlan.com/llms/connectors/google-bigquery/set-up-google-private-service-connect/llms.txt): Keep Atlan's BigQuery API traffic off the public internet with Google Private Service Connect - Atlan builds the private endpoint; you paste one DNS name.
- [Special cases](https://docs.atlan.com/llms/connectors/google-bigquery/special-cases/llms.txt): Google BigQuery special cases - multiple projects, Delta external tables, Data Quality with WIF, per-user SSO, credential rotation, and the Lakehouse integration.
- [Crawl Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/crawl-google-bigquery/llms.txt): Crawl metadata from Google BigQuery to catalog datasets, tables, views, and columns. Extract lineage and asset details after completing prerequisite setup.
- [Mine Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/mine-google-bigquery/llms.txt): Once you have crawled assets from Google BigQuery, you can mine its query history to construct lineage.
- [Manage Google BigQuery tags](https://docs.atlan.com/llms/connectors/google-bigquery/manage-google-bigquery-tags/llms.txt): Atlan imports your Google BigQuery tags and lets you update your Google BigQuery assets with the imported tags. Note that object tagging in Google BigQuery currently requires Enterprise edition or higher.
- [How Atlan connects to Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/how-atlan-connects-to-google-bigquery/llms.txt): Understand how Atlan securely connects to your Google BigQuery data warehouse to extract metadata.
- [How BigQuery connectivity works](https://docs.atlan.com/llms/connectors/google-bigquery/how-bigquery-connectivity-works/llms.txt): Learn how Atlan reaches Google BigQuery, why there are no IP addresses to allowlist on the main path, and the four traffic hops that matter.
- [VPC Service Controls & allowlisting](https://docs.atlan.com/llms/connectors/google-bigquery/vpc-service-controls-and-allowlisting/llms.txt): The Google services and VPC Service Controls ingress rules your security team must allow for Atlan to reach Google BigQuery.
- [What does Atlan crawl from Google BigQuery?](https://docs.atlan.com/llms/connectors/google-bigquery/what-does-atlan-crawl-from-google-bigquery/llms.txt): Atlan doesn't run any table scans. Atlan leverages the table preview options from Google BigQuery that enable you to view data for free and without affecting any quotas using the `tabledata.list` API. Hence, table asset previews in Atlan are already cost-optimized. However, this doesn't apply to views and materialized views.
- [Preflight checks for Google BigQuery](https://docs.atlan.com/llms/connectors/google-bigquery/preflight-checks-for-google-bigquery/llms.txt): Each request requires an OAuth 2.0 access token generated via the service account key.
- [BigQuery assets package](https://docs.atlan.com/llms/connectors/google-bigquery/package-reference/llms.txt): Programmatically crawl and manage Google BigQuery assets in Atlan using the Python SDK (pyatlan). Reference for the BigQuery assets package.
- [BigQuery assets app](https://docs.atlan.com/llms/connectors/google-bigquery/google-bigquery-sdk-references-app-reference/llms.txt): Learn how to crawl Google BigQuery assets and publish them to Atlan for discovery.
- [BigQuery miner app](https://docs.atlan.com/llms/connectors/google-bigquery/google-bigquery-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from BigQuery to generate lineage and usage metrics.
- [Troubleshooting Google BigQuery connectivity](https://docs.atlan.com/llms/connectors/google-bigquery/troubleshooting-google-bigquery-connectivity/llms.txt): Symptom-first troubleshooting for Google BigQuery connectivity - VPC-SC denials, generic connection errors, WIF failures, key rotation, and cross-project permission issues.
- [Routines and Process assets](https://docs.atlan.com/llms/connectors/google-bigquery/routines-and-process-assets/llms.txt): Frequently asked questions about BigQuery routines and their relationships with Process assets for lineage generation

#### [Microsoft Azure Synapse Analytics](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/llms.txt)

> Integrate, catalog, and govern Microsoft Azure Synapse Analytics assets in Atlan.

- [Set up Microsoft Azure Synapse Analytics](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/set-up-microsoft-azure-synapse-analytics/llms.txt): Atlan supports crawling the following with the Microsoft Azure Synapse Analytics package:.
- [Mine Microsoft Azure Synapse Analytics](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/mine-microsoft-azure-synapse-analytics/llms.txt): Learn about mine microsoft azure synapse analytics.
- [Set up on-premises Microsoft Azure Synapse Analytics miner access](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/set-up-on-premises-microsoft-azure-synapse-analytics-miner-access/llms.txt): In some cases you will not be able to expose your Microsoft Azure Synapse Analytics instance for Atlan to mine query history from the Query Store. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Crawl Microsoft Azure Synapse Analytics](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/crawl-microsoft-azure-synapse-analytics/llms.txt): Extract metadata from Microsoft Azure Synapse Analytics to catalog databases, schemas, tables, and views. Discover and govern your cloud data warehouse assets after configuring permissions.
- [What does Atlan crawl from Microsoft Azure Synapse Analytics?](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/what-does-atlan-crawl-from-microsoft-azure-synapse-analytics/llms.txt): During a Microsoft Azure Synapse Analytics crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Routines. Reference tables map each Azure Synapse property to its Atlan asset.
- [Preflight checks for Microsoft Azure Synapse Analytics](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/preflight-checks-for-microsoft-azure-synapse-analytics/llms.txt): This check is performed for both basic and service principal authentication method.
- [What lineage does Atlan extract from Microsoft Azure Synapse Analytics?](https://docs.atlan.com/llms/connectors/microsoft-azure-synapse-analytics/what-lineage-does-atlan-extract-from-microsoft-azure-synapse-analytics/llms.txt): Learn about what lineage does atlan extract from microsoft azure synapse analytics?.

#### [SAP Datasphere](https://docs.atlan.com/llms/connectors/sap-datasphere/llms.txt)

> Integrate, catalog, and govern SAP Datasphere assets in Atlan.

- [Set up SAP Datasphere](https://docs.atlan.com/llms/connectors/sap-datasphere/set-up-sap-datasphere/llms.txt): Create an OAuth client and a database analysis user so Atlan can connect to SAP Datasphere and crawl metadata.
- [Crawl SAP Datasphere](https://docs.atlan.com/llms/connectors/sap-datasphere/crawl-sap-datasphere/llms.txt): Create a SAP Datasphere crawler workflow in Atlan to extract metadata from your tenant.
- [How Atlan connects to SAP Datasphere](https://docs.atlan.com/llms/connectors/sap-datasphere/how-atlan-connects-to-sap-datasphere/llms.txt): Understand how Atlan securely connects to your SAP Datasphere tenant to extract metadata and lineage.
- [What does Atlan crawl from SAP Datasphere?](https://docs.atlan.com/llms/connectors/sap-datasphere/what-does-atlan-crawl-from-sap-datasphere/llms.txt): During a SAP Datasphere crawl, Atlan extracts metadata for spaces, tables, views, analytic models, columns, and replication flows.
- [Preflight checks for SAP Datasphere](https://docs.atlan.com/llms/connectors/sap-datasphere/preflight-checks-for-sap-datasphere/llms.txt): Before running the SAP Datasphere crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting SAP Datasphere connectivity](https://docs.atlan.com/llms/connectors/sap-datasphere/troubleshooting-sap-datasphere-connectivity/llms.txt): Resolve common SAP Datasphere connection issues and errors.

#### [Snowflake](https://docs.atlan.com/llms/connectors/snowflake/llms.txt)

> Integrate, catalog, and govern Snowflake assets in Atlan.

- [How to set up Snowflake in Atlan](https://docs.atlan.com/llms/connectors/snowflake/set-up-snowflake/llms.txt): Set up Snowflake for Atlan by creating a dedicated user, role, and permissions so Atlan can connect and crawl your Snowflake metadata.
- [Choose how Atlan connects to Snowflake](https://docs.atlan.com/llms/connectors/snowflake/choose-how-atlan-connects-to-snowflake/llms.txt): Compare the three ways Atlan can reach your Snowflake account—public IP allowlisting, Private Link, and the self-deployed agent—and pick the right one before you touch any cloud configuration.
- [How private connectivity works](https://docs.atlan.com/llms/connectors/snowflake/how-private-connectivity-works/llms.txt): Learn what a private link is, who is responsible for each part of the setup, and the three traffic paths between Atlan and Snowflake.
- [Set up AWS private network link to Snowflake](https://docs.atlan.com/llms/connectors/snowflake/set-up-an-aws-private-network-link-to-snowflake/llms.txt): Set up AWS PrivateLink between your Snowflake account and your Atlan tenant, including cross-region configurations.
- [Set up Azure private network link to Snowflake](https://docs.atlan.com/llms/connectors/snowflake/set-up-an-azure-private-network-link-to-snowflake/llms.txt): Set up Azure Private Link between your Snowflake account and your Atlan tenant, covering the five-phase handshake between Snowflake, Atlan support, and your cloud team.
- [Enable Snowflake OAuth](https://docs.atlan.com/llms/connectors/snowflake/enable-snowflake-oauth/llms.txt): Atlan supports Snowflake OAuth-based authentication for Snowflake connections.
- [Enable Snowflake OAuth with PingFederate](https://docs.atlan.com/llms/connectors/snowflake/enable-snowflake-oauth-with-pingfederate/llms.txt): Configure PingFederate as the External OAuth identity provider so Atlan Data Exploration queries on your Snowflake connection authenticate as each end user.
- [How to crawl Snowflake in Atlan](https://docs.atlan.com/llms/connectors/snowflake/crawl-snowflake/llms.txt): Crawl metadata from Snowflake in Atlan to catalog tables, schemas, views, and columns. Review the order of operations, then complete these steps to connect Atlan to your Snowflake instance.
- [Mine Snowflake](https://docs.atlan.com/llms/connectors/snowflake/mine-snowflake/llms.txt): Once you have crawled assets from Snowflake, you can mine its query history to construct lineage.
- [Manage Snowflake tags](https://docs.atlan.com/llms/connectors/snowflake/manage-snowflake-tags/llms.txt): You can import your Snowflake tags to Atlan through one-way tag sync. The synced Snowflake tags will be matched to corresponding tags in Atlan through case-insensitive name match and your Snowflake assets will be enriched with their synced tags from Snowflake.
- [Configure Snowflake data metric functions](https://docs.atlan.com/llms/connectors/snowflake/configure-snowflake-data-metric-functions/llms.txt): Configure Snowflake data metric functions
- [Asset description reverse sync](https://docs.atlan.com/llms/connectors/snowflake/asset-description-reverse-sync/llms.txt): Sync asset descriptions authored in Atlan back to Snowflake comments. Reference for workflow configuration, asset filtering, audit-trail behavior, and sync options.
- [Multiple tag values and concatenation](https://docs.atlan.com/llms/connectors/snowflake/multiple-tag-values-and-concatenation/llms.txt): Learn how Atlan handles multiple tag values for Snowflake objects, including concatenation, sorting, and reverse synchronization.
- [Query redaction for Snowflake](https://docs.atlan.com/llms/connectors/snowflake/query-redaction/llms.txt): Reference for Redact SQL Text on Snowflake crawler and miner workflows: what Atlan redacts, what it preserves, and limitations to plan for.
- [What does Atlan crawl from Snowflake?](https://docs.atlan.com/llms/connectors/snowflake/what-does-atlan-crawl-from-snowflake/llms.txt): During a Snowflake crawl, Atlan extracts metadata for Databases, Schemas, Tables, Views, and Procedures. Reference tables map each Snowflake property to its Atlan asset.
- [Preflight checks for Snowflake](https://docs.atlan.com/llms/connectors/snowflake/preflight-checks-for-snowflake/llms.txt): Before running the Snowflake crawler, you can run preflight checks to perform the necessary technical validations.
- [Snowflake app image and versioning](https://docs.atlan.com/llms/connectors/snowflake/snowflake-app-image-and-versioning/llms.txt): Identify the container image used for the Snowflake assets app, understand its versioning, and find the exact version assigned to your tenant.
- [Permissions](https://docs.atlan.com/llms/connectors/snowflake/permissions/llms.txt): Full SQL grant reference for both Snowflake extraction methods—account usage and information schema—including permissions for optional object types
- [Permissions for Snowflake listings and shares](https://docs.atlan.com/llms/connectors/snowflake/permissions-for-snowflake-listings-and-shares/llms.txt): Full reference of the additional privileges the Atlan service account needs to discover Snowflake listings and shares, including what each privilege enables, why standard connector permissions aren't enough, and how to grant them.
- [Where Snowflake listings and shares appear in Atlan](https://docs.atlan.com/llms/connectors/snowflake/where-snowflake-listings-and-shares-appear/llms.txt): Reference for the Snowflake listing and share asset profiles, the Shares section on SQL assets, the imported database indicator, and how to navigate them.
- [Snowflake assets package](https://docs.atlan.com/llms/connectors/snowflake/package-reference/llms.txt): Programmatically crawl and manage Snowflake assets in Atlan using the Python SDK (pyatlan). Reference for the Snowflake assets package.
- [Snowflake assets app](https://docs.atlan.com/llms/connectors/snowflake/snowflake-sdk-references-app-reference/llms.txt): Learn how to crawl Snowflake assets and publish them to Atlan for discovery.
- [Snowflake miner app](https://docs.atlan.com/llms/connectors/snowflake/snowflake-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Snowflake to generate lineage and usage metrics.
- [Snowflake miner package](https://docs.atlan.com/llms/connectors/snowflake/miner-reference/llms.txt): Programmatically mine Snowflake query history to generate lineage and usage metrics in Atlan using the Python SDK (pyatlan).
- [Troubleshooting Snowflake connectivity](https://docs.atlan.com/llms/connectors/snowflake/troubleshooting-snowflake-connectivity/llms.txt): Learn about troubleshooting Snowflake connectivity.
- [Troubleshooting Snowflake tag management](https://docs.atlan.com/llms/connectors/snowflake/troubleshooting-snowflake-tag-management/llms.txt): Learn about troubleshooting snowflake tag management.
- [Snowflake connectivity and crawling](https://docs.atlan.com/llms/connectors/snowflake/snowflake-connectivity-and-crawling/llms.txt): Frequently asked questions about Snowflake connectivity and crawling.
- [Allowlisting Atlan IPs in Snowflake](https://docs.atlan.com/llms/connectors/snowflake/allowlist-atlan-ip/llms.txt): Frequently asked questions about whether you need to allowlist Atlan IP addresses in Snowflake and how to find the right values for your tenant.
- [Stored Procedures, UDFs and Process assets](https://docs.atlan.com/llms/connectors/snowflake/stored-procedures-udfs-and-process-assets/llms.txt): Frequently asked questions about Snowflake Stored Procedures and User-defined Functions and their relationships with Process assets for lineage generation
- [Snowflake warehouse configuration](https://docs.atlan.com/llms/connectors/snowflake/snowflake-warehouse-configuration/llms.txt): Recommended Snowflake warehouse configuration to enable reliable Atlan workflow execution.

### ERP

#### [NetSuite](https://docs.atlan.com/llms/connectors/netsuite/llms.txt)

> Integrate, catalog, and govern NetSuite assets in Atlan.

- [Set up NetSuite](https://docs.atlan.com/llms/connectors/netsuite/set-up-netsuite/llms.txt): Configure token-based authentication to connect NetSuite to Atlan.
- [Crawl NetSuite](https://docs.atlan.com/llms/connectors/netsuite/crawl-netsuite/llms.txt): Crawl metadata from NetSuite to catalog record types, record fields, and business processes. Extract enterprise data structure after configuring access credentials.
- [What does Atlan crawl from NetSuite?](https://docs.atlan.com/llms/connectors/netsuite/what-does-atlan-crawl-from-netsuite/llms.txt): Atlan crawls and maps NetSuite record types to tables and record fields to columns.
- [Preflight checks for NetSuite](https://docs.atlan.com/llms/connectors/netsuite/preflight-checks-for-netsuite/llms.txt): The NetSuite SuiteTalk REST API is used to validate authentication and access permissions before crawling.

#### [SAP ECC](https://docs.atlan.com/llms/connectors/sap-ecc/llms.txt)

> Integrate, catalog, and govern SAP ECC assets in Atlan.

- [Set up SAP ECC](https://docs.atlan.com/llms/connectors/sap-ecc/set-up-sap-ecc/llms.txt): Set up user accounts and permissions required for SAP ECC metadata extraction in Atlan.
- [Crawl SAP ECC](https://docs.atlan.com/llms/connectors/sap-ecc/crawl-sap-ecc/llms.txt): Extract and catalog metadata from your SAP ECC system including tables, fields, and modules in Atlan.
- [How Atlan connects to SAP ECC](https://docs.atlan.com/llms/connectors/sap-ecc/how-atlan-connects-to-sap-ecc/llms.txt): Understand how Atlan securely connects to your SAP ECC system to extract metadata.
- [What does Atlan crawl from SAP ECC?](https://docs.atlan.com/llms/connectors/sap-ecc/what-does-atlan-crawl-from-sap-ecc/llms.txt): What does Atlan crawl from SAP ECC?

#### [SAP S/4HANA](https://docs.atlan.com/llms/connectors/sap-s4hana/llms.txt)

> Integrate, catalog, and govern SAP S/4HANA assets in Atlan.

- [Set up SAP S/4HANA](https://docs.atlan.com/llms/connectors/sap-s4hana/set-up-sap-s4hana/llms.txt): Set up user accounts and permissions required for SAP S/4HANA metadata extraction in Atlan.
- [Crawl SAP S/4HANA](https://docs.atlan.com/llms/connectors/sap-s4hana/crawl-sap-s4hana/llms.txt): Extract and catalog metadata from your SAP S/4HANA system including tables, fields, CDS views, Fiori apps, and modules in Atlan.
- [How Atlan connects to SAP S/4HANA](https://docs.atlan.com/llms/connectors/sap-s4hana/how-atlan-connects-to-sap-s4hana/llms.txt): Understand how Atlan securely connects to your SAP S/4HANA system to extract metadata.
- [What does Atlan crawl from SAP S/4HANA?](https://docs.atlan.com/llms/connectors/sap-s4hana/what-does-atlan-crawl-from-sap-s4hana/llms.txt): What does Atlan crawl from SAP S/4HANA?

#### [SAP BW/4HANA](https://docs.atlan.com/llms/connectors/sap-bw4hana/llms.txt)

> Integrate, catalog, and govern SAP BW/4HANA assets in Atlan.

- [Set up SAP BW/4HANA](https://docs.atlan.com/llms/connectors/sap-bw4hana/set-up-sap-bw4hana/llms.txt): Set up user accounts and permissions required for SAP BW/4HANA metadata extraction in Atlan.
- [Crawl SAP BW/4HANA](https://docs.atlan.com/llms/connectors/sap-bw4hana/crawl-sap-bw4hana/llms.txt): Extract and catalog metadata from your SAP BW/4HANA system in Atlan.
- [How Atlan connects to SAP BW/4HANA](https://docs.atlan.com/llms/connectors/sap-bw4hana/how-atlan-connects-to-sap-bw4hana/llms.txt): Understand how Atlan securely connects to your SAP BW/4HANA system to extract metadata.
- [What does Atlan crawl from SAP BW/4HANA?](https://docs.atlan.com/llms/connectors/sap-bw4hana/what-does-atlan-crawl-from-sap-bw4hana/llms.txt): During a SAP BW/4HANA crawl, Atlan extracts metadata for InfoAreas, providers, DataSources, InfoObjects, queries, transformations, and DTPs.

### ETL Tools

#### [Alteryx](https://docs.atlan.com/llms/connectors/alteryx/llms.txt)

> Integrate, catalog, and govern Alteryx assets in Atlan using OpenLineage.

- [Set up Alteryx](https://docs.atlan.com/llms/connectors/alteryx/integrate-alteryx/llms.txt): Set up real-time integration between Alteryx and Atlan using OpenLineage to automatically catalog assets and create lineage when workflows run.
- [What does Atlan crawl from Alteryx?](https://docs.atlan.com/llms/connectors/alteryx/what-does-atlan-crawl-from-alteryx/llms.txt)
- [Troubleshooting Alteryx connectivity](https://docs.atlan.com/llms/connectors/alteryx/troubleshooting-alteryx-connectivity/llms.txt): Troubleshoot Alteryx connector issues with error, cause, and solution guidance.

#### [AWS Glue](https://docs.atlan.com/llms/connectors/aws-glue/llms.txt)

> Integrate, catalog, and govern AWS Glue assets in Atlan.

- [Set up AWS Glue](https://docs.atlan.com/llms/connectors/aws-glue/set-up-aws-glue/llms.txt): Learn about set up aws glue.
- [Connect with IAM access keys](https://docs.atlan.com/llms/connectors/aws-glue/connect-with-iam-access-keys/llms.txt): The fastest path to connect Atlan to AWS Glue - create a read-only IAM user in your AWS account and give Atlan its key pair.
- [Connect with cross-account IAM role](https://docs.atlan.com/llms/connectors/aws-glue/connect-with-a-cross-account-iam-role/llms.txt): The recommended way to connect Atlan to AWS Glue - Atlan assumes a role you create, so no long-lived secret ever leaves your account.
- [Crawl AWS Glue](https://docs.atlan.com/llms/connectors/aws-glue/crawl-aws-glue/llms.txt): Crawl metadata from AWS Glue Data Catalog to catalog jobs, workflows, tables, and data transformations. Extract lineage information after configuring AWS access permissions.
- [How Atlan connects to AWS Glue](https://docs.atlan.com/llms/connectors/aws-glue/how-atlan-connects-to-aws-glue/llms.txt): Understand how Atlan securely connects to your AWS Glue Data Catalog to extract metadata.
- [Choose how Atlan connects to AWS Glue](https://docs.atlan.com/llms/connectors/aws-glue/choose-how-atlan-connects-to-aws-glue/llms.txt): Pick how Atlan proves its identity to AWS Glue - IAM access keys, a cross-account IAM role, or the self-deployed agent.
- [How cross-account access works](https://docs.atlan.com/llms/connectors/aws-glue/how-cross-account-access-works/llms.txt): Learn how Atlan reads your AWS Glue Data Catalog - the traffic path, the two ways of proving identity, and the two-key door that makes role-based access safe.
- [What does Atlan crawl from AWS Glue?](https://docs.atlan.com/llms/connectors/aws-glue/what-does-atlan-crawl-from-aws-glue/llms.txt): During an AWS Glue crawl, Atlan extracts metadata for Catalogs, Databases, Schemas, Tables, and Jobs. Reference tables map each Glue property to its Atlan asset.
- [Enrich Glue table statistics from S3 Inventory Files](https://docs.atlan.com/llms/connectors/aws-glue/aws-glue-table-statistics-from-s3-inventory/llms.txt): Enrich AWS Glue table statistics in Atlan using S3 Inventory report files. Reference for workflow configuration, S3 inventory format, and statistics-calculation behavior.
- [Preflight checks for AWS Glue](https://docs.atlan.com/llms/connectors/aws-glue/preflight-checks-for-aws-glue/llms.txt): Before running the AWS Glue crawler, you can run preflight checks to validate credentials and IAM permissions.
- [Atlan identity & network details](https://docs.atlan.com/llms/connectors/aws-glue/atlan-identity-and-network-details/llms.txt): What identity Atlan presents to your AWS account for AWS Glue, which values are tenant-specific, and exactly what to request from support in a single ticket.
- [Catalog permissions & Lake Formation](https://docs.atlan.com/llms/connectors/aws-glue/catalog-permissions-and-lake-formation/llms.txt): The exact IAM permissions Atlan needs for AWS Glue, plus the Lake Formation grants whose absence silently empties crawls instead of raising errors.
- [Special cases](https://docs.atlan.com/llms/connectors/aws-glue/special-cases/llms.txt): AWS Glue special cases - multiple AWS accounts, multiple regions, cross-account resource links, S3 Table Bucket federated catalogs, and the circuit breaker.
- [Glue assets package](https://docs.atlan.com/llms/connectors/aws-glue/package-reference/llms.txt): Programmatically crawl and manage AWS Glue assets in Atlan using the Python SDK (pyatlan). Reference for the Glue assets package.
- [Glue assets app](https://docs.atlan.com/llms/connectors/aws-glue/aws-glue-sdk-references-app-reference/llms.txt): Learn how to crawl AWS Glue Data Catalog assets and publish them to Atlan for discovery.
- [Troubleshooting AWS Glue connectivity](https://docs.atlan.com/llms/connectors/aws-glue/troubleshooting-aws-glue-connectivity/llms.txt): Symptom-first troubleshooting for AWS Glue connectivity - role assumption failures, invalid credentials, access denied, circuit breaker, and missing columns.

#### [Coalesce](https://docs.atlan.com/llms/connectors/coalesce/llms.txt)

> Identify Snowflake assets materialized by Coalesce and surface their latest run status, lineage, and failure announcements directly on the Snowflake asset in Atlan.

- [Set up Coalesce](https://docs.atlan.com/llms/connectors/coalesce/set-up-coalesce/llms.txt): Generate a Coalesce API token and connect Coalesce to Atlan so Atlan can fetch nodes, lineage, and per-node run status.
- [Crawl Coalesce](https://docs.atlan.com/llms/connectors/coalesce/crawl-coalesce/llms.txt): Configure the Coalesce crawler in Atlan and run your first crawl to enrich Snowflake assets with Coalesce metadata, lineage, and run status.
- [What does Atlan crawl from Coalesce](https://docs.atlan.com/llms/connectors/coalesce/what-does-atlan-crawl-from-coalesce/llms.txt): Inventory of the Coalesce metadata, lineage, and run status that Atlan ingests, and the boundaries of what's and isn't surfaced in the catalog.
- [Troubleshooting Coalesce connectivity](https://docs.atlan.com/llms/connectors/coalesce/troubleshooting-coalesce-connectivity/llms.txt): Resolve common issues with the Coalesce connector: empty panels, missing status, rate-limit errors, and timing-related symptoms.
- [Rate limits and scheduling](https://docs.atlan.com/llms/connectors/coalesce/limits-and-caveats/llms.txt): Frequently asked questions about Coalesce API rate limits and scheduling the Atlan crawler around your Coalesce job windows.

#### [dbt](https://docs.atlan.com/llms/connectors/dbt/llms.txt)

> Integrate, catalog, and govern dbt assets in Atlan.

- [Set up dbt Cloud](https://docs.atlan.com/llms/connectors/dbt/set-up-dbt-cloud/llms.txt): Configure authentication tokens in dbt Cloud to enable Atlan to fetch and enrich your assets with dbt metadata.
- [Set up dbt Core](https://docs.atlan.com/llms/connectors/dbt/set-up-dbt-core/llms.txt): Configure access and storage for dbt Core in Atlan, including credential setup for AWS, GCP, and Azure, and uploading dbt metadata files.
- [Connect dbt Cloud with API token](https://docs.atlan.com/llms/connectors/dbt/connect-dbt-cloud-with-an-api-token/llms.txt): Point Atlan at your dbt Cloud account using a token - four phases including the IP-restrictions network step most guides skip.
- [Connect dbt Core via storage bucket](https://docs.atlan.com/llms/connectors/dbt/connect-dbt-core-via-a-storage-bucket/llms.txt): Connect dbt Core to Atlan - your pipeline uploads dbt's output files to a cloud bucket (S3, GCS, ADLS, or Atlan-managed) and Atlan reads them.
- [Allowlists and firewalls](https://docs.atlan.com/llms/connectors/dbt/allowlists-and-firewalls/llms.txt): Everything IP- and firewall-related for dbt - dbt Cloud's IP restrictions feature, and storage-side firewalls for dbt Core buckets.
- [Choose how Atlan connects to dbt](https://docs.atlan.com/llms/connectors/dbt/choose-how-atlan-connects-to-dbt/llms.txt): Compare the two ways Atlan can read your dbt metadata - the dbt Cloud API with a token, or dbt output files in a cloud storage bucket for dbt Core.
- [How dbt connectivity works](https://docs.atlan.com/llms/connectors/dbt/how-dbt-connectivity-works/llms.txt): Learn the three traffic paths between your dbt setup and Atlan - the dbt Cloud API pull, the storage-bucket read, and your own upload pipeline.
- [Crawl dbt](https://docs.atlan.com/llms/connectors/dbt/crawl-dbt/llms.txt): Configure and run the crawler to extract metadata from your dbt Cloud or dbt Core projects.
- [Manage dbt tags](https://docs.atlan.com/llms/connectors/dbt/manage-dbt-tags/llms.txt): Atlan imports your dbt tags and lets you update your dbt assets with the imported tags.
- [Enrich Atlan through dbt](https://docs.atlan.com/llms/connectors/dbt/update-atlan-through-dbt/llms.txt): Beyond the default mapped dbt Cloud or dbt Core properties, you can update any of Atlan's metadata attributes (except for `name`, `tenantId`, and `qualifiedName`) through your dbt model's `meta` property.
- [Migrate from dbt to Atlan action](https://docs.atlan.com/llms/connectors/dbt/migrate-from-dbt-to-atlan-action/llms.txt): Atlan's atlan-action extends the former dbt-action with broader dbt-to-Atlan capabilities in CI.
- [Add impact analysis in GitHub](https://docs.atlan.com/llms/connectors/dbt/add-impact-analysis-in-github/llms.txt): Learn about add impact analysis in github.
- [Add impact analysis in GitLab](https://docs.atlan.com/llms/connectors/dbt/add-impact-analysis-in-gitlab/llms.txt): Learn about add impact analysis in gitlab.
- [What does Atlan crawl from dbt Cloud?](https://docs.atlan.com/llms/connectors/dbt/what-does-atlan-crawl-from-dbt-cloud/llms.txt)
- [What does Atlan crawl from dbt Core?](https://docs.atlan.com/llms/connectors/dbt/what-does-atlan-crawl-from-dbt-core/llms.txt)
- [Preflight checks for dbt](https://docs.atlan.com/llms/connectors/dbt/preflight-checks-for-dbt/llms.txt): This checks if manifest files are present in the provided bucket and prefix.
- [Special cases](https://docs.atlan.com/llms/connectors/dbt/special-cases/llms.txt): dbt special cases - multiple environments, token rotation, Core migration, managed buckets, shared IAM roles, Cloud and Core in parallel.
- [dbt assets package](https://docs.atlan.com/llms/connectors/dbt/package-reference/llms.txt): Programmatically crawl and manage dbt assets in Atlan using the Python SDK (pyatlan). Reference for the dbt assets package.
- [dbt assets app](https://docs.atlan.com/llms/connectors/dbt/dbt-sdk-references-app-reference/llms.txt): Learn how to crawl dbt assets (dbt Cloud or dbt Core) and publish them to Atlan.
- [Troubleshooting dbt connectivity](https://docs.atlan.com/llms/connectors/dbt/troubleshooting-dbt-connectivity/llms.txt): Symptom-first troubleshooting for dbt connectivity - bucket access denied, dbt Cloud access forbidden, AssumeRole failures, wrong hosts, and stale catalogs.

#### [Fivetran](https://docs.atlan.com/llms/connectors/fivetran/llms.txt)

> Integrate, catalog, and govern Fivetran assets in Atlan.

- [Set up Fivetran](https://docs.atlan.com/llms/connectors/fivetran/set-up-fivetran/llms.txt): Configure the Fivetran Platform Connector and destination to enable Atlan to extract Fivetran metadata and logs.
- [Crawl Fivetran](https://docs.atlan.com/llms/connectors/fivetran/crawl-fivetran/llms.txt): Enrich Atlan with Fivetran metadata to track data pipeline lineage and transformations. Configure the Fivetran Platform Connector and connect a supported data warehouse destination.
- [What does Atlan crawl from Fivetran?](https://docs.atlan.com/llms/connectors/fivetran/what-does-atlan-crawl-from-fivetran/llms.txt): During a Fivetran crawl, Atlan creates lineage between source and destination data assets and extracts metadata for Fivetran Connectors. Reference tables map each Fivetran Connector property to its Atlan asset.
- [Preflight checks for Fivetran](https://docs.atlan.com/llms/connectors/fivetran/preflight-checks-for-fivetran/llms.txt): Learn about preflight checks for fivetran.
- [Fivetran enrichment package](https://docs.atlan.com/llms/connectors/fivetran/package-reference/llms.txt): Programmatically enrich Fivetran assets in Atlan with column-level lineage using the Python SDK (pyatlan). Reference for the Fivetran enrichment package.
- [Troubleshooting Fivetran connectivity](https://docs.atlan.com/llms/connectors/fivetran/troubleshooting-fivetran-connectivity/llms.txt): Learn about troubleshooting fivetran connectivity.

#### [Hightouch](https://docs.atlan.com/llms/connectors/hightouch/llms.txt)

> Integrate, catalog, and govern Hightouch reverse ETL assets in Atlan.

- [Set up Hightouch](https://docs.atlan.com/llms/connectors/hightouch/set-up-hightouch/llms.txt): Configure Hightouch roles, groups, and API keys to connect with Atlan.
- [Crawl Hightouch](https://docs.atlan.com/llms/connectors/hightouch/crawl-hightouch/llms.txt): Crawl metadata from Hightouch to catalog models and syncs. Extract reverse ETL lineage between data warehouse sources and operational business tools after configuring API credentials.
- [What does Atlan crawl from Hightouch?](https://docs.atlan.com/llms/connectors/hightouch/what-does-atlan-crawl-from-hightouch/llms.txt): Learn what assets and metadata Atlan extracts from Hightouch reverse ETL pipelines and syncs.

#### [Informatica CDI](https://docs.atlan.com/llms/connectors/informatica-cdi/llms.txt)

> Integrate, catalog, and govern Informatica Cloud Data Integration assets in Atlan.

- [Set up Informatica CDI](https://docs.atlan.com/llms/connectors/informatica-cdi/set-up-informatica-cdi/llms.txt): Configure authentication and user permissions for Informatica Cloud Data Integration connector
- [Crawl Informatica CDI assets](https://docs.atlan.com/llms/connectors/informatica-cdi/crawl-informatica-cdi/llms.txt): Crawl metadata from Informatica Cloud Data Integration to catalog projects, workflows, tasks, and mappings. Extract data transformation lineage after configuring cloud access.
- [Dynamic mapping task lineage](https://docs.atlan.com/llms/connectors/informatica-cdi/dynamic-mapping-task-lineage/llms.txt): How Atlan resolves source fields, target fields, and field-level lineage for Informatica CDI dynamic mapping tasks
- [Transformations](https://docs.atlan.com/llms/connectors/informatica-cdi/transformation-logic/llms.txt): Understand how Informatica Cloud Data Integration transformation logic and business rules are discovered and cataloged in Atlan
- [What does Atlan crawl from Informatica CDI](https://docs.atlan.com/llms/connectors/informatica-cdi/what-does-atlan-crawl-from-informatica-cdi/llms.txt): During an Informatica Cloud Data Integration crawl, Atlan extracts metadata for Projects, Folders, Mapping Tasks, Mappings, Transformations, and Transformation Fields. Reference tables map each Informatica CDI property to its Atlan asset.
- [How does Atlan connect to Informatica CDI](https://docs.atlan.com/llms/connectors/informatica-cdi/how-does-atlan-connect-to-informatica-cdi/llms.txt): Technical details about Atlan's connection architecture to Informatica Cloud Data Integration
- [Task and crawl issues](https://docs.atlan.com/llms/connectors/informatica-cdi/task-and-crawl-issues/llms.txt): Troubleshoot Informatica CDI task processing and crawling issues with error, cause, and solution guidance.
- [Tasks, transformations, and lineage](https://docs.atlan.com/llms/connectors/informatica-cdi/tasks-transformations-and-lineage/llms.txt): Learn about supported tasks, transformations, and lineage generation in the Informatica CDI connector

#### [Informatica PowerCenter](https://docs.atlan.com/llms/connectors/informatica-powercenter/llms.txt)

> Extract end-to-end lineage from Informatica PowerCenter into Atlan.

- [Set up Informatica PowerCenter](https://docs.atlan.com/llms/connectors/informatica-powercenter/set-up-informatica-powercenter/llms.txt): Export your PowerCenter repository to XML and package the files for the Atlan connector
- [Crawl Informatica PowerCenter assets](https://docs.atlan.com/llms/connectors/informatica-powercenter/crawl-informatica-powercenter/llms.txt): Create a workflow to extract table-level and column-level lineage from Informatica PowerCenter repository exports.
- [What Atlan crawls from Informatica PowerCenter](https://docs.atlan.com/llms/connectors/informatica-powercenter/what-does-atlan-crawl-from-informatica-powercenter/llms.txt): Atlan extracts table-level and column-level lineage from Informatica PowerCenter repository exports. Reference the supported source types and how sources are resolved.
- [Crawl and lineage issues](https://docs.atlan.com/llms/connectors/informatica-powercenter/crawl-and-lineage-issues/llms.txt): Resolve upload failures, empty extractions, and missing lineage for the Informatica PowerCenter connector
- [Lineage](https://docs.atlan.com/llms/connectors/informatica-powercenter/informatica-powercenter-lineage/llms.txt): Frequently asked questions about Informatica PowerCenter lineage in Atlan

#### [Matillion ETL](https://docs.atlan.com/llms/connectors/matillion/llms.txt)

> Integrate, catalog, and govern Matillion ETL assets in Atlan.

- [Set up Matillion](https://docs.atlan.com/llms/connectors/matillion/set-up-matillion/llms.txt): Configure user authentication and permissions in Matillion to enable Atlan to crawl metadata from your Matillion instance.
- [Crawl Matillion](https://docs.atlan.com/llms/connectors/matillion/crawl-matillion/llms.txt): Crawl metadata from Matillion to catalog jobs, tasks, pipelines, and transformations. Extract lineage information after configuring user permissions and connectivity.
- [What does Atlan crawl from Matillion?](https://docs.atlan.com/llms/connectors/matillion/what-does-atlan-crawl-from-matillion/llms.txt): Atlan crawls and maps the following assets and properties from Matillion.
- [What lineage does Atlan extract from Matillion?](https://docs.atlan.com/llms/connectors/matillion/what-lineage-does-atlan-extract-from-matillion/llms.txt): Atlan uses Matillion's metadata API to generate lineage associated with Matillion connectors. This is particularly useful for creating lineage between different tools.
- [Connection and authentication issues](https://docs.atlan.com/llms/connectors/matillion/troubleshooting-matillion-connectivity/llms.txt): Troubleshoot Matillion connection and authentication issues with error, cause, and solution guidance.

#### [Microsoft Azure Data Factory](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/llms.txt)

> Integrate, catalog, and govern Microsoft Azure Data Factory assets in Atlan.

- [Set up Microsoft Azure Data Factory](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/set-up-microsoft-azure-data-factory/llms.txt): Atlan supports service principal authentication for fetching metadata from Microsoft Azure Data Factory. This method requires a client ID, client secret, and tenant ID to fetch metadata.
- [Crawl Microsoft Azure Data Factory](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/crawl-microsoft-azure-data-factory/llms.txt): Extract metadata from your Microsoft Azure Data Factory environment into Atlan to catalog pipelines, datasets, and activities.
- [What does Atlan crawl from Microsoft Azure Data Factory?](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/what-does-atlan-crawl-from-microsoft-azure-data-factory/llms.txt): Atlan crawls and maps the following assets and properties from Microsoft Azure Data Factory.
- [What lineage does Atlan extract from Microsoft Azure Data Factory?](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/what-lineage-does-atlan-extract-from-microsoft-azure-data-factory/llms.txt): Microsoft Azure Data Factory REST API reference for lineage extracted into Atlan.
- [Preflight checks for Microsoft Azure Data Factory](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/preflight-checks-for-microsoft-azure-data-factory/llms.txt): Before running the Microsoft Azure Data Factory crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Microsoft Azure Data Factory connectivity](https://docs.atlan.com/llms/connectors/microsoft-azure-data-factory/troubleshooting-microsoft-azure-data-factory-connectivity/llms.txt): Learn about troubleshooting microsoft azure data factory connectivity.

#### [Microsoft SQL Server Integration Services](https://docs.atlan.com/llms/connectors/ssis/llms.txt)

> Integrate, catalog, and govern Microsoft SQL Server Integration Services assets in Atlan.

- [Set up Microsoft SQL Server Integration Services (SSIS)](https://docs.atlan.com/llms/connectors/ssis/set-up-ssis/llms.txt): Configure Azure Blob Storage and upload Microsoft SQL Server Integration Services (SSIS) project files for the SSIS Connector workflow
- [Crawl Microsoft SQL Server Integration Services (SSIS) assets](https://docs.atlan.com/llms/connectors/ssis/crawl-ssis/llms.txt): Crawl metadata from SSIS project files to catalog projects, packages, tasks, and components, and build table-level and column-level lineage from SSIS packages stored in Azure Blob Storage.
- [What does Atlan crawl from SSIS](https://docs.atlan.com/llms/connectors/ssis/what-does-atlan-crawl-from-ssis/llms.txt): Review the SSIS asset types, metadata, and lineage Atlan extracts during crawling
- [Task and crawl issues](https://docs.atlan.com/llms/connectors/ssis/task-and-crawl-issues/llms.txt): Resolve authentication failures and common workflow errors for the SSIS connector
- [Limitations and supported assets](https://docs.atlan.com/llms/connectors/ssis/limitations-and-supported-assets/llms.txt): Learn about lineage support, limitations, and supported asset types for the Microsoft SQL Server Integration Services (SSIS) connector

#### [Talend](https://docs.atlan.com/llms/connectors/talend/llms.txt)

> Integrate, catalog, and govern Talend assets in Atlan.

- [Set up Talend](https://docs.atlan.com/llms/connectors/talend/set-up-talend/llms.txt): Configure GitHub or Stash access tokens for the Talend connector
- [Crawl Talend assets](https://docs.atlan.com/llms/connectors/talend/crawl-talend/llms.txt): Crawl metadata from Talend to catalog jobs, components, and transformations. Extract transformation lineage from project files in GitHub or Atlassian Stash repositories.
- [What Atlan crawls from Talend](https://docs.atlan.com/llms/connectors/talend/what-does-atlan-crawl-from-talend/llms.txt): During a Talend crawl, Atlan extracts metadata for Projects, Jobs, Reusable Units, Datasets, Fields, and Dataset Operations. Reference tables map each Talend property to its Atlan asset.
- [Component lineage support](https://docs.atlan.com/llms/connectors/talend/talend-component-support/llms.txt): Talend components the connector builds lineage for, grouped by support level
- [Connection and authentication issues](https://docs.atlan.com/llms/connectors/talend/connection-and-authentication-issues/llms.txt): Resolve repository access failures and authentication errors for the Talend connector

### Event/Messaging

#### [Aiven Kafka](https://docs.atlan.com/llms/connectors/aiven-kafka/llms.txt)

> Integrate, catalog, and govern Aiven Kafka assets in Atlan.

- [Set up Aiven Kafka](https://docs.atlan.com/llms/connectors/aiven-kafka/set-up-aiven-kafka/llms.txt): Atlan supports the S3 extraction method for fetching metadata from Aiven Kafka. This method uses Atlan's kafka-extractor tool to fetch metadata.
- [Crawl Aiven Kafka](https://docs.atlan.com/llms/connectors/aiven-kafka/crawl-aiven-kafka/llms.txt): Extract metadata from Aiven Kafka to catalog topics, partitions, and consumer groups. Discover and govern your Kafka messaging infrastructure after configuring permissions.
- [What does Atlan crawl from Aiven Kafka?](https://docs.atlan.com/llms/connectors/aiven-kafka/what-does-atlan-crawl-from-aiven-kafka/llms.txt): Atlan crawls and maps the following assets and properties from Aiven Kafka.
- [Preflight checks for Aiven Kafka](https://docs.atlan.com/llms/connectors/aiven-kafka/preflight-checks-for-aiven-kafka/llms.txt): Before running the Aiven Kafka crawler, you can run preflight checks to perform the necessary technical validations.

#### [Amazon MSK](https://docs.atlan.com/llms/connectors/amazon-msk/llms.txt)

> Integrate, catalog, and govern Amazon MSK assets in Atlan.

- [Set up Amazon MSK](https://docs.atlan.com/llms/connectors/amazon-msk/set-up-amazon-msk/llms.txt): Learn about set up amazon msk.
- [Set up a private network link to Amazon MSK](https://docs.atlan.com/llms/connectors/amazon-msk/set-up-a-private-network-link-to-amazon-msk/llms.txt): :::warning Who can do this? You will need your Amazon MSK or AWS administrator involved - you may not have access to run these tasks.
- [Crawl Amazon MSK](https://docs.atlan.com/llms/connectors/amazon-msk/crawl-amazon-msk/llms.txt): To crawl metadata from Amazon MSK, review the order of operations and then complete the following steps.
- [What does Atlan crawl from Amazon MSK?](https://docs.atlan.com/llms/connectors/amazon-msk/what-does-atlan-crawl-from-amazon-msk/llms.txt): During an Amazon MSK crawl, Atlan extracts metadata for Topics and Consumer Groups. Reference tables map each Amazon MSK property to its Atlan asset.
- [Preflight checks for Amazon MSK](https://docs.atlan.com/llms/connectors/amazon-msk/preflight-checks-for-amazon-msk/llms.txt): Before running the Amazon MSK crawler, you can run preflight checks to perform the necessary technical validations.
- [Troubleshooting Amazon MSK connectivity](https://docs.atlan.com/llms/connectors/amazon-msk/troubleshooting-amazon-msk-connectivity/llms.txt): Learn about troubleshooting amazon msk connectivity.

#### [Apache Kafka](https://docs.atlan.com/llms/connectors/apache-kafka/llms.txt)

> Integrate, catalog, and govern Apache Kafka assets in Atlan.

- [Set up Apache Kafka](https://docs.atlan.com/llms/connectors/apache-kafka/set-up-apache-kafka/llms.txt): Configure authentication and permissions on Apache Kafka so Atlan can access your cluster metadata.
- [Crawl Apache Kafka](https://docs.atlan.com/llms/connectors/apache-kafka/crawl-apache-kafka/llms.txt): Crawl metadata from Apache Kafka to catalog topics, consumer groups, and clusters. Extract schema information from Confluent Schema Registry after configuring cluster permissions.
- [Set up on-premises Kafka access](https://docs.atlan.com/llms/connectors/apache-kafka/set-up-on-premises-kafka-access/llms.txt): In some cases you won't be able to expose your Kafka instance for Atlan to crawl and ingest metadata. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Crawl on-premises Kafka](https://docs.atlan.com/llms/connectors/apache-kafka/crawl-on-premises-kafka/llms.txt): Extract metadata from on-premises Kafka to catalog topics, partitions, and consumer groups. Discover and govern your Kafka messaging infrastructure after configuring extractor tool.
- [How Atlan connects to Apache Kafka](https://docs.atlan.com/llms/connectors/apache-kafka/how-atlan-connects-to-apache-kafka/llms.txt): Understand how Atlan securely connects to your Apache Kafka cluster to extract metadata.
- [What does Atlan crawl from Apache Kafka?](https://docs.atlan.com/llms/connectors/apache-kafka/what-does-atlan-crawl-from-apache-kafka/llms.txt): During an Apache Kafka crawl, Atlan extracts metadata for Clusters, Topics, Consumer Groups, Schema Subjects, Schema Versions, and Schema Fields. Reference tables map each Kafka property to its Atlan asset.
- [Preflight checks for Apache Kafka](https://docs.atlan.com/llms/connectors/apache-kafka/preflight-checks-for-apache-kafka/llms.txt): Before running the Apache Kafka crawler, run preflight checks to perform the necessary technical validations.
- [Manage Kafka assets](https://docs.atlan.com/llms/connectors/apache-kafka/manage-assets/llms.txt): Manage Apache Kafka assets programmatically in Atlan using the Python SDK (pyatlan). Create, update, and delete KafkaTopic and KafkaConsumerGroup assets via the SDK.

#### [Confluent Kafka](https://docs.atlan.com/llms/connectors/confluent-kafka/llms.txt)

> Integrate, catalog, and govern Confluent Kafka assets in Atlan.

- [Set up Confluent Kafka](https://docs.atlan.com/llms/connectors/confluent-kafka/set-up-confluent-kafka/llms.txt): Atlan supports the API authentication method for fetching metadata from Confluent Kafka. This method uses an API key and API secret to fetch metadata.
- [Crawl Confluent Kafka](https://docs.atlan.com/llms/connectors/confluent-kafka/crawl-confluent-kafka/llms.txt): Learn about crawl confluent kafka.
- [Set up on-premises Kafka access](https://docs.atlan.com/llms/connectors/confluent-kafka/set-up-on-premises-kafka-access/llms.txt): In some cases you won't be able to expose your Kafka instance for Atlan to crawl and ingest metadata. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Crawl on-premises Kafka](https://docs.atlan.com/llms/connectors/confluent-kafka/crawl-on-premises-kafka/llms.txt): Extract metadata from on-premises Kafka to catalog topics, partitions, and consumer groups. Discover and govern your Kafka messaging infrastructure after configuring extractor tool.
- [How Atlan connects to Confluent Kafka](https://docs.atlan.com/llms/connectors/confluent-kafka/how-atlan-connects-to-confluent-kafka/llms.txt): Understand how Atlan securely connects to your Confluent Kafka cluster to extract metadata.
- [What does Atlan crawl from Confluent Kafka?](https://docs.atlan.com/llms/connectors/confluent-kafka/what-does-atlan-crawl-from-confluent-kafka/llms.txt): During a Confluent Kafka crawl, Atlan extracts metadata for Clusters, Topics, Consumer Groups, Schema Subjects, Schema Versions, and Schema Fields. Reference tables map each Confluent Kafka property to its Atlan asset.
- [Preflight checks for Confluent Kafka](https://docs.atlan.com/llms/connectors/confluent-kafka/preflight-checks-for-confluent-kafka/llms.txt): Before running the Confluent Kafka crawler, run preflight checks to perform necessary technical validations.
- [Confluent Kafka assets package](https://docs.atlan.com/llms/connectors/confluent-kafka/package-reference/llms.txt): Programmatically crawl and manage Confluent Kafka assets in Atlan using the Python SDK (pyatlan). Reference for the Confluent Kafka assets package.
- [Confluent Kafka assets app](https://docs.atlan.com/llms/connectors/confluent-kafka/confluent-kafka-sdk-references-app-reference/llms.txt): Learn how to crawl Confluent Kafka topics and publish them to Atlan for discovery.

#### [Microsoft Azure Event Hubs](https://docs.atlan.com/llms/connectors/microsoft-azure-event-hubs/llms.txt)

> Integrate, catalog, and govern Azure Event Hubs assets in Atlan.

- [Set up Microsoft Azure Event Hubs](https://docs.atlan.com/llms/connectors/microsoft-azure-event-hubs/set-up-microsoft-azure-event-hubs/llms.txt): Atlan supports the following authentication methods for Microsoft Azure Event Hubs:.
- [Crawl Microsoft Azure Event Hubs](https://docs.atlan.com/llms/connectors/microsoft-azure-event-hubs/crawl-microsoft-azure-event-hubs/llms.txt): Extract metadata from Microsoft Azure Event Hubs to catalog topics, partitions, and consumer groups. Discover and govern your messaging infrastructure after configuring permissions.
- [What does Atlan crawl from Microsoft Azure Event Hubs?](https://docs.atlan.com/llms/connectors/microsoft-azure-event-hubs/what-does-atlan-crawl-from-microsoft-azure-event-hubs/llms.txt): Atlan crawls and maps the following assets and properties from Microsoft Azure Event Hubs.
- [Manage Azure Event Hub assets](https://docs.atlan.com/llms/connectors/microsoft-azure-event-hubs/manage-assets/llms.txt): Manage Azure Event Hub assets programmatically in Atlan using the Python SDK (pyatlan). Create, update, and delete AzureEventHub and AzureEventHubConsumerGroup assets via the SDK.

#### [Redpanda Kafka](https://docs.atlan.com/llms/connectors/redpanda-kafka/llms.txt)

> Integrate, catalog, and govern Redpanda Kafka assets in Atlan.

- [Set up Redpanda Kafka](https://docs.atlan.com/llms/connectors/redpanda-kafka/set-up-redpanda-kafka/llms.txt): Atlan supports the S3 extraction method for fetching metadata from Redpanda Kafka. This method uses Atlan's kafka-extractor tool to fetch metadata.
- [Crawl Redpanda Kafka](https://docs.atlan.com/llms/connectors/redpanda-kafka/crawl-redpanda-kafka/llms.txt): Extract metadata from Redpanda Kafka to catalog topics, partitions, and consumer groups. Discover and govern your Kafka messaging infrastructure after configuring permissions.
- [Set up on-premises Kafka access](https://docs.atlan.com/llms/connectors/redpanda-kafka/set-up-on-premises-kafka-access/llms.txt): In some cases you won't be able to expose your Kafka instance for Atlan to crawl and ingest metadata. For example, this may happen when security requirements restrict access to sensitive, mission-critical data.
- [Crawl on-premises Kafka](https://docs.atlan.com/llms/connectors/redpanda-kafka/crawl-on-premises-kafka/llms.txt): Extract metadata from on-premises Kafka to catalog topics, partitions, and consumer groups. Discover and govern your Kafka messaging infrastructure after configuring extractor tool.
- [What does Atlan crawl from Redpanda Kafka?](https://docs.atlan.com/llms/connectors/redpanda-kafka/what-does-atlan-crawl-from-redpanda-kafka/llms.txt): Atlan crawls and maps the following assets and properties from Redpanda Kafka.
- [Preflight checks for Redpanda Kafka](https://docs.atlan.com/llms/connectors/redpanda-kafka/preflight-checks-for-redpanda-kafka/llms.txt): Before running the Redpanda Kafka crawler, you can run preflight checks to perform the necessary technical validations.

#### [Confluent Schema Registry](https://docs.atlan.com/llms/connectors/confluent-schema-registry/llms.txt)

> Integrate, catalog, and govern Confluent Schema Registry assets in Atlan.

- [Set up Confluent Schema Registry](https://docs.atlan.com/llms/connectors/confluent-schema-registry/set-up-confluent-schema-registry/llms.txt): Create API keys on Confluent so Atlan can access your Schema Registry.
- [Crawl Confluent Schema Registry](https://docs.atlan.com/llms/connectors/confluent-schema-registry/crawl-confluent-schema-registry/llms.txt): Configure and run the standalone Confluent Schema Registry crawler in Atlan.
- [What does Atlan crawl from Confluent Schema Registry?](https://docs.atlan.com/llms/connectors/confluent-schema-registry/what-does-atlan-crawl-from-confluent-schema-registry/llms.txt): Atlan crawls and maps the following assets and properties from Confluent Schema Registry.
- [Preflight checks for Confluent Schema Registry](https://docs.atlan.com/llms/connectors/confluent-schema-registry/preflight-checks-for-confluent-schema-registry/llms.txt): Before running the Confluent Schema Registry crawler, you ca.

### Knowledge Management

#### [Glean](https://docs.atlan.com/llms/connectors/glean/llms.txt)

> Sync Atlan glossary terms into Glean as searchable documents and curated Answers.

- [Set up Glean](https://docs.atlan.com/llms/connectors/glean/set-up-glean/llms.txt): Configure the API credentials and datasource in Glean and Atlan required to sync glossary terms.
- [Sync glossary terms to Glean](https://docs.atlan.com/llms/connectors/glean/sync-glean/llms.txt): Configure and run the glossary sync workflow to push Atlan terms to Glean as searchable documents and curated Answers.
- [What does Atlan sync to Glean?](https://docs.atlan.com/llms/connectors/glean/what-does-atlan-sync-to-glean/llms.txt): Metadata fields and asset types that the Atlan Glean connector syncs to Glean
- [Glean sync](https://docs.atlan.com/llms/connectors/glean/glean-sync/llms.txt): Frequently asked questions about syncing Atlan glossary terms to Glean

### Orchestration & Workflow

#### [Amazon MWAA OpenLineage](https://docs.atlan.com/llms/connectors/amazon-mwaa-openlineage/llms.txt)

> Integrate, catalog, and visualize Amazon MWAA lineage in Atlan.

- [Integrate Amazon MWAA/OpenLineage](https://docs.atlan.com/llms/connectors/amazon-mwaa-openlineage/integrate-amazon-mwaa-openlineage/llms.txt): To learn more about OpenLineage, refer to OpenLineage configuration and facets.
- [What does Atlan crawl from Amazon MWAA/OpenLineage?](https://docs.atlan.com/llms/connectors/amazon-mwaa-openlineage/what-does-atlan-crawl-from-amazon-mwaa-openlineage/llms.txt): Once you have integrated Amazon MWAA/OpenLineage, you can use connector-specific filters for quick asset discovery.

#### [Apache Airflow OpenLineage](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/llms.txt)

> Integrate, catalog, and visualize Apache Airflow lineage in Atlan.

- [Integrate Apache Airflow/OpenLineage](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/integrate-apache-airflow-openlineage/llms.txt): To integrate Apache Airflow/OpenLineage with Atlan, complete the following steps. To learn more about OpenLineage, refer to OpenLineage configuration and facets.
- [Implement OpenLineage in Airflow operators](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/implement-openlineage-in-airflow-operators/llms.txt): If you're using an Airflow operator supported by OpenLineage, the OpenLineage events will contain input and output details. This means that you do not have to modify your current DAG implementation and Atlan will be able to generate data lineage.
- [What does Atlan crawl from Apache Airflow/OpenLineage?](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/what-does-atlan-crawl-from-apache-airflow-openlineage/llms.txt): Once you have integrated Apache Airflow/OpenLineage,.
- [Preflight checks for Apache Airflow](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/preflight-checks-for-apache-airflow/llms.txt): Learn about preflight checks for apache airflow.
- [Provider package versions for OpenLineage](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/recommended-provider-package-versions/llms.txt): Learn about provider package versions for openlineage.
- [Troubleshooting Apache Airflow/OpenLineage connectivity](https://docs.atlan.com/llms/connectors/apache-airflow-openlineage/troubleshooting-apache-airflow-openlineage-connectivity/llms.txt): Learn about troubleshooting apache airflow/openlineage connectivity.

#### [Apache Flink OpenLineage](https://docs.atlan.com/llms/connectors/apache-flink-openlineage/llms.txt)

> Integrate, catalog, and visualize Apache Flink lineage in Atlan.

- [Integrate Apache Flink/OpenLineage](https://docs.atlan.com/llms/connectors/apache-flink-openlineage/integrate-apache-flink-openlineage/llms.txt): Atlan extracts job-level operational metadata from Apache Flink and generates job lineage through OpenLineage. To learn more about OpenLineage, refer to OpenLineage configuration and facets.
- [What does Atlan crawl from Apache Flink/OpenLineage?](https://docs.atlan.com/llms/connectors/apache-flink-openlineage/what-does-atlan-crawl-from-apache-flink-openlineage/llms.txt): Atlan maps the following assets and properties from Apache Flink/OpenLineage. Asset lineage support depends on the data sources that OpenLineage supports.

#### [Apache Spark OpenLineage](https://docs.atlan.com/llms/connectors/apache-spark-openlineage/llms.txt)

> Integrate, catalog, and visualize Apache Spark lineage in Atlan.

- [Integrate Apache Spark/OpenLineage](https://docs.atlan.com/llms/connectors/apache-spark-openlineage/integrate-apache-spark-openlineage/llms.txt): Atlan extracts job-level operational metadata from Apache Spark and generates job lineage through OpenLineage. To learn more about OpenLineage, refer to OpenLineage configuration and facets.
- [What does Atlan crawl from Apache Spark/OpenLineage?](https://docs.atlan.com/llms/connectors/apache-spark-openlineage/what-does-atlan-crawl-from-apache-spark-openlineage/llms.txt): Atlan maps the following assets and properties from Apache Spark/OpenLineage. Asset lineage support depends on the data sources that OpenLineage supports.
- [Troubleshooting Apache Spark/OpenLineage connectivity](https://docs.atlan.com/llms/connectors/apache-spark-openlineage/troubleshooting-apache-spark-openlineage-connectivity/llms.txt): Learn about troubleshooting apache spark/openlineage connectivity.

#### [Astronomer OpenLineage](https://docs.atlan.com/llms/connectors/astronomer-openlineage/llms.txt)

> Integrate, catalog, and visualize Astronomer lineage in Atlan.

- [Integrate Astronomer/OpenLineage](https://docs.atlan.com/llms/connectors/astronomer-openlineage/integrate-astronomer-openlineage/llms.txt): Learn how to integrate Astronomer/OpenLineage with Atlan by configuring the connection, setting environment variables, and verifying connectivity.
- [What does Atlan crawl from Astronomer/OpenLineage?](https://docs.atlan.com/llms/connectors/astronomer-openlineage/what-does-atlan-crawl-from-astronomer-openlineage/llms.txt): Atlan maps the following assets and properties from Astronomer/OpenLineage. Asset lineage support depends on the list of operators supported by OpenLineage.

#### [Amazon SageMaker](https://docs.atlan.com/llms/connectors/amazon-sagemaker/llms.txt)

> Integrate, catalog, and govern Amazon SageMaker AI assets in Atlan.

- [Set up SageMaker](https://docs.atlan.com/llms/connectors/amazon-sagemaker/set-up-sagemaker/llms.txt): Configure AWS credentials and permissions to connect Atlan to your SageMaker environment.
- [Crawl SageMaker](https://docs.atlan.com/llms/connectors/amazon-sagemaker/crawl-sagemaker/llms.txt): Crawl lineage from AWS SageMaker to catalog machine learning pipelines, jobs, models, and datasets. Extract ML workflow lineage after configuring AWS credentials.
- [How Atlan connects to SageMaker](https://docs.atlan.com/llms/connectors/amazon-sagemaker/how-atlan-connects-to-sagemaker/llms.txt): Understand how Atlan securely connects to your Amazon SageMaker service to extract metadata.
- [What does Atlan crawl from SageMaker](https://docs.atlan.com/llms/connectors/amazon-sagemaker/what-does-atlan-crawl-from-sagemaker/llms.txt): Learn what AI assets and metadata Atlan crawls from Amazon SageMaker.
- [Preflight checks for Amazon SageMaker](https://docs.atlan.com/llms/connectors/amazon-sagemaker/preflight-checks-for-sagemaker/llms.txt): Technical validations performed before crawling Amazon SageMaker resources.
- [Connection and authentication issues](https://docs.atlan.com/llms/connectors/amazon-sagemaker/connection-and-authentication-issues/llms.txt): Troubleshoot SageMaker connection and authentication issues with error, cause, and solution guidance.

#### [Dagster](https://docs.atlan.com/llms/connectors/dagster/llms.txt)

> Integrate, catalog, and visualize Dagster lineage in Atlan.

- [Set up Dagster](https://docs.atlan.com/llms/connectors/dagster/set-up-dagster/llms.txt): Configure Dagster integration with Atlan to enable asset and lineage capture from your Dagster assets
- [Crawl Dagster assets](https://docs.atlan.com/llms/connectors/dagster/crawl-dagster/llms.txt): Capture lineage from Dagster assets by creating a listener in Atlan. Extract data orchestration metadata and asset dependencies from your Dagster instance.
- [What does Atlan crawl from Dagster](https://docs.atlan.com/llms/connectors/dagster/what-does-atlan-crawl-from-dagster/llms.txt): Learn about the Dagster metadata that Atlan captures and visualizes
- [Dagster integration](https://docs.atlan.com/llms/connectors/dagster/faq-dagster/llms.txt): Frequently asked questions about Dagster integration with Atlan

#### [Generic OpenLineage](https://docs.atlan.com/llms/connectors/generic-openlineage/llms.txt)

> Capture and visualize lineage from any OpenLineage-emitting system in Atlan

- [Integrate Generic OpenLineage](https://docs.atlan.com/llms/connectors/generic-openlineage/integrate-generic-openlineage/llms.txt): Atlan extracts job-level operational metadata from applications sending OpenLineage events and generates job lineage through OpenLineage.
- [What Atlan crawls from Generic OpenLineage](https://docs.atlan.com/llms/connectors/generic-openlineage/what-does-atlan-crawl-from-generic-openlineage/llms.txt): Atlan maps the following assets and properties from Generic OpenLineage. Asset lineage support depends on the data sources that OpenLineage supports
- [Event conventions](https://docs.atlan.com/llms/connectors/generic-openlineage/events-conventions-openlineage/llms.txt): Transport, authentication, naming conventions, supported data sources, and lineage behavior for Generic OpenLineage integration with Atlan.

#### [Google Cloud OpenLineage](https://docs.atlan.com/llms/connectors/google-cloud-composer-openlineage/llms.txt)

> Integrate, catalog, and visualize Google Cloud Composer lineage in Atlan.

- [Integrate Google Cloud Composer/OpenLineage](https://docs.atlan.com/llms/connectors/google-cloud-composer-openlineage/integrate-google-cloud-composer-openlineage/llms.txt): To integrate Google Cloud Composer/OpenLineage with Atlan, complete the following steps. To learn more about OpenLineage, refer to OpenLineage configuration and facets.
- [What does Atlan crawl from Google Cloud Composer/OpenLineage?](https://docs.atlan.com/llms/connectors/google-cloud-composer-openlineage/what-does-atlan-crawl-from-google-cloud-composer-openlineage/llms.txt): Atlan maps the following assets and properties from Google Cloud Composer/OpenLineage. Asset lineage support depends on the list of operators supported by OpenLineage.

#### [Google Dataflow](https://docs.atlan.com/llms/connectors/google-dataflow/llms.txt)

> Integrate, catalog, and visualize Google Dataflow job lineage in Atlan.

- [Set up Google Dataflow](https://docs.atlan.com/llms/connectors/google-dataflow/set-up-google-dataflow/llms.txt): Enable lineage on Dataflow jobs and grant Atlan read access to Google Cloud's Data Lineage API.
- [What does Atlan crawl from Google Dataflow?](https://docs.atlan.com/llms/connectors/google-dataflow/what-does-atlan-crawl-from-google-dataflow/llms.txt): Learn about the Google Dataflow metadata that Atlan captures and visualizes.
- [Preflight and lineage errors](https://docs.atlan.com/llms/connectors/google-dataflow/troubleshoot-google-dataflow/llms.txt): Troubleshoot preflight failures and missing lineage in the Google Dataflow connector.

### Privacy & Security

#### [ALTR](https://docs.atlan.com/llms/connectors/altr/llms.txt)

> Integrate ALTR with Atlan and import trusted ALTR classification results as governance tags.

- [Set up ALTR](https://docs.atlan.com/llms/connectors/altr/set-up-altr/llms.txt): Prepare your ALTR environment and generate API credentials for Atlan integration.
- [Import ALTR classification metadata](https://docs.atlan.com/llms/connectors/altr/import-altr-classification-metadata/llms.txt): Configure and run the Atlan ALTR workflow to import ALTR classification results into Atlan.
- [How Atlan connects to ALTR](https://docs.atlan.com/llms/connectors/altr/how-atlan-connects-to-altr/llms.txt): Understand how Atlan securely connects to ALTR and imports classification metadata.
- [What does Atlan import from ALTR?](https://docs.atlan.com/llms/connectors/altr/what-does-atlan-import-from-altr/llms.txt): Learn what ALTR metadata Atlan imports and how it's mapped to Atlan assets.

#### [BigID](https://docs.atlan.com/llms/connectors/bigid/llms.txt)

> Integrate with BigID to enrich existing Atlan assets with BigID-discovered privacy metadata, or ingest BigID-cataloged assets into Atlan.

- [Set up BigID](https://docs.atlan.com/llms/connectors/bigid/set-up-bigid/llms.txt): Create a BigID system user and API token for Atlan integration.
- [Crawl BigID](https://docs.atlan.com/llms/connectors/bigid/crawl-bigid/llms.txt): Configure and run the Atlan BigID workflow to crawl metadata from BigID.
- [How Atlan connects to BigID](https://docs.atlan.com/llms/connectors/bigid/how-atlan-connects-to-bigid/llms.txt): Understand how Atlan securely connects to your BigID instance to extract privacy metadata.
- [What does Atlan crawl from BigID?](https://docs.atlan.com/llms/connectors/bigid/what-does-atlan-crawl-from-bigid/llms.txt): Reference guide for BigID metadata crawled by Atlan.

#### [Cyera](https://docs.atlan.com/llms/connectors/cyera/llms.txt)

> Integrate with Cyera and enrich assets in Atlan with Cyera-discovered data classification metadata.

- [Set up Cyera](https://docs.atlan.com/llms/connectors/cyera/set-up-cyera/llms.txt): Generate the Cyera and Atlan credentials needed to configure the Cyera workflow.
- [Crawl Cyera](https://docs.atlan.com/llms/connectors/cyera/crawl-cyera/llms.txt): Crawl classification metadata from Cyera to enrich assets with data sensitivity and privacy information. Extract data sensitivity classifications and security issues.
- [How Atlan connects to Cyera](https://docs.atlan.com/llms/connectors/cyera/how-atlan-connects-to-cyera/llms.txt): Understand how Atlan securely connects to Cyera to extract data classification metadata.
- [What Atlan crawls from Cyera](https://docs.atlan.com/llms/connectors/cyera/what-does-atlan-crawl-from-cyera/llms.txt): Reference guide for Cyera metadata crawled by Atlan.

#### [Immuta](https://docs.atlan.com/llms/connectors/immuta/llms.txt)

> Configure Immuta access request links on Atlan assets and request data access or masking exceptions directly from asset profiles.

- [Integrate Immuta](https://docs.atlan.com/llms/connectors/immuta/integrate-immuta/llms.txt): Configure the Immuta workflow in Atlan to enrich data assets with Immuta access request links and column masking exception requests.
- [What does Atlan import from Immuta?](https://docs.atlan.com/llms/connectors/immuta/what-does-atlan-import-from-immuta/llms.txt): Learn what Atlan enriches from Immuta and how it surfaces on asset profiles.

### Semantic Layer

#### [Cube](https://docs.atlan.com/llms/connectors/cube/llms.txt)

> Integrate, catalog, and govern Cube semantic-layer assets in Atlan.

- [Set up Cube](https://docs.atlan.com/llms/connectors/cube/set-up-cube/llms.txt): Generate a Cube API key and gather the tenant URL Atlan needs to extract your semantic model and emit warehouse → Cube lineage.
- [Crawl Cube](https://docs.atlan.com/llms/connectors/cube/crawl-cube/llms.txt): Crawl metadata from Cube to catalog cubes, views, dimensions, measures, and segments. Emit warehouse → Cube lineage from the tables and columns each metric is built on.
- [What does Atlan crawl from Cube?](https://docs.atlan.com/llms/connectors/cube/what-does-atlan-crawl-from-cube/llms.txt): During a Cube crawl, Atlan extracts your semantic model—data sources, cubes, views, dimensions, measures, and segments—and maps each property to its Atlan asset. Reference tables and lineage below.
- [Troubleshooting Cube connectivity](https://docs.atlan.com/llms/connectors/cube/troubleshooting-cube-connectivity/llms.txt): Learn about troubleshooting Cube connectivity, including authentication, deployment and environment selection, and missing lineage.

### Storage

#### [Amazon S3](https://docs.atlan.com/llms/connectors/amazon-s3/llms.txt)

> Integrate, catalog, and govern Amazon S3 assets in Atlan.

- [Set up Amazon S3](https://docs.atlan.com/llms/connectors/amazon-s3/set-up-s3/llms.txt): Create AWS IAM permissions and credentials for Atlan to access and catalog your S3 buckets and objects.
- [Choose how Atlan connects to Amazon S3](https://docs.atlan.com/llms/connectors/amazon-s3/choose-how-atlan-connects-to-amazon-s3/llms.txt): Pick the identity Atlan uses to read your Amazon S3 metadata - a cross-account IAM role it borrows, or an IAM user whose keys you hand over.
- [Set up S3 access with cross-account IAM role](https://docs.atlan.com/llms/connectors/amazon-s3/set-up-s3-access-with-a-cross-account-iam-role/llms.txt): The production-recommended way to connect Atlan to Amazon S3 - Atlan temporarily assumes a role in your AWS account, with no secret created or exchanged.
- [Set up S3 access with IAM access keys](https://docs.atlan.com/llms/connectors/amazon-s3/set-up-s3-access-with-iam-access-keys/llms.txt): The fully self-serve way to connect Atlan to Amazon S3 - create an IAM user, attach the permission policy, and paste its keys into Atlan.
- [Bucket policies, KMS keys, and prefix scoping](https://docs.atlan.com/llms/connectors/amazon-s3/bucket-policies-kms-keys-and-prefix-scoping/llms.txt): The Amazon S3 second doors - bucket policies, KMS key policies, and how to scope Atlan's access down to a single prefix.
- [Special cases](https://docs.atlan.com/llms/connectors/amazon-s3/special-cases/llms.txt): Amazon S3 special cases - multi-million-object buckets, multiple AWS accounts, Atlan-hosted bucket flows, External ID limitations, and the region field.
- [How cross-account access works](https://docs.atlan.com/llms/connectors/amazon-s3/how-cross-account-access-works/llms.txt): Learn how Atlan reads Amazon S3 - IAM roles, trust policies, External IDs, and the four AWS doors every crawl must pass through.
- [Set up Inventory reports](https://docs.atlan.com/llms/connectors/amazon-s3/set-up-inventory-reports-for-s3/llms.txt): Create Inventory report for Amazon S3 in case of inventory based ingestion through the crawler.
- [Crawl S3 assets](https://docs.atlan.com/llms/connectors/amazon-s3/crawl-s3/llms.txt): Configure and run the S3 crawler to catalog your Amazon S3 buckets and objects in Atlan.
- [Atlan identity details](https://docs.atlan.com/llms/connectors/amazon-s3/atlan-identity-details/llms.txt): The Atlan-side values an Amazon S3 role setup needs, what each is for, and how to get them in a single support ticket.
- [S3 Inventory Report Structure](https://docs.atlan.com/llms/connectors/amazon-s3/inventory-report-structure/llms.txt): Expected folder structure and format for S3 inventory reports used by Atlan's S3 crawler for inventory-based ingestion.
- [What does Atlan crawl from Amazon S3](https://docs.atlan.com/llms/connectors/amazon-s3/what-does-atlan-crawl-from-s3/llms.txt): Complete reference for the S3 assets and properties that Atlan crawls and maps during S3 cataloging.
- [Manage AWS S3 assets](https://docs.atlan.com/llms/connectors/amazon-s3/manage-assets/llms.txt): Manage Amazon S3 assets programmatically in Atlan using the Python SDK (pyatlan). Create, update, and delete S3 connections, buckets, and objects via the SDK.
- [Troubleshooting S3 connectivity](https://docs.atlan.com/llms/connectors/amazon-s3/troubleshooting-s3-connectivity/llms.txt): Symptom-first troubleshooting for Amazon S3 connectivity - ListAllMyBuckets 403s, the empty-AKID trap, AssumeRole denials, explicit denies, KMS, region mismatches, and inventory issues.

#### [Google GCS](https://docs.atlan.com/llms/connectors/google-gcs/llms.txt)

> Integrate, catalog, and govern Google Cloud Storage assets in Atlan.

- [Set up Google Cloud Storage](https://docs.atlan.com/llms/connectors/google-gcs/set-up-gcs/llms.txt): Configure Google Cloud Storage for secure metadata ingestion with Atlan.
- [Crawl GCS assets](https://docs.atlan.com/llms/connectors/google-gcs/crawl-gcs/llms.txt): Configure and run the GCS crawler to catalog your GCP GCS buckets and objects in Atlan.
- [Generate GCS to BigQuery external table lineage](https://docs.atlan.com/llms/connectors/google-gcs/gcs-to-bigquery-external-table-lineage/llms.txt): Learn how to generate lineage between BigQuery external tables and their upstream GCS objects using the GCS to BigQuery External Table Lineage workflow.
- [What does Atlan crawl from Google GCS](https://docs.atlan.com/llms/connectors/google-gcs/what-does-atlan-crawl-from-gcs/llms.txt): Complete reference for the GCS assets and properties that Atlan crawls and maps during GCS cataloging.
- [Manage Google Cloud Storage assets](https://docs.atlan.com/llms/connectors/google-gcs/manage-assets/llms.txt): Manage Google Cloud Storage assets programmatically in Atlan using the Python SDK (pyatlan). Create, update, and delete GCS connections, buckets, and objects via the SDK.

---

## Consume context

→ Full index: [/llms/catalog/llms.txt](https://docs.atlan.com/llms/catalog/llms.txt)

#### [Data Exploration](https://docs.atlan.com/llms/catalog/insights/llms.txt)

> Query and analyze your data using Atlan's powerful query builder and SQL capabilities.

- [Query data](https://docs.atlan.com/llms/catalog/insights/query-data/llms.txt): Query data in Atlan using SQL or the Visual Query Builder. Write custom SQL queries, use read-based statements, preview results, and schedule queries to run on a schedule.
- [Save and share queries](https://docs.atlan.com/llms/catalog/insights/save-and-share-queries/llms.txt): Save queries to collections for reuse, scheduling, and sharing. Organize queries with descriptions and certificates, assign terms, and control sharing permissions by granting viewer or editor access to other users and groups.
- [Make a query interactive](https://docs.atlan.com/llms/catalog/insights/make-a-query-interactive/llms.txt): Make queries interactive by defining custom variables that others can modify. Share queries with controlled modifications where only variable values can change, not the underlying query logic.
- [Schedule a query](https://docs.atlan.com/llms/catalog/insights/schedule-a-query/llms.txt): Schedule saved queries to run repeatedly on a schedule. Configure hourly, daily, weekly, or monthly runs with custom cron expressions, and automatically share results with users via email.
- [What are the query builder actions?](https://docs.atlan.com/llms/catalog/insights/what-are-the-query-builder-actions/llms.txt): Learn about what are the query builder actions?.
- [Data Exploration tips and tricks](https://docs.atlan.com/llms/catalog/insights/tips-and-tricks/llms.txt): At Atlan, the goal is to power your user experience. Here are a few tips and tricks to help you get the most out of Data Exploration for you and your team!
- [Are there any limits on concurrent queries?](https://docs.atlan.com/llms/catalog/insights/concurrent-queries-limit/llms.txt): Learn about are there any limits on concurrent queries?.
- [Can I query any DW/DL?](https://docs.atlan.com/llms/catalog/insights/query-any-dw-dl/llms.txt): You can query any data warehouse (DW) or data lake (DL) if the integration is supported via Atlan's supported sources. Once integrated, you can query the underlying data using the Data Exploration feature.
- [Can I turn off sample data preview for the entire organization?](https://docs.atlan.com/llms/catalog/insights/disable-sample-data-preview/llms.txt): Atlan recommends that you turn off sample data preview at a connection level. For example, you can configure the Snowflake crawler to prevent users from previewing any Snowflake data.
- [Can we restrict who can query our data warehouse?](https://docs.atlan.com/llms/catalog/insights/restrict-querying-data-warehouse/llms.txt): Learn about can we restrict who can query our data warehouse?.
- [How can I identify Data Exploration query in my database access log?](https://docs.atlan.com/llms/catalog/insights/identify-insights-query-db-log/llms.txt): Atlan appends the product name Atlan and a unique ID at the end of each query in a comment. This can help you identify queries from Data Exploration in your database access logs.
- [Monitor for runaway queries?](https://docs.atlan.com/llms/catalog/insights/monitor-runaway-queries/llms.txt): Learn about monitor for runaway queries?.
- [How to use parameterized queries?](https://docs.atlan.com/llms/catalog/insights/parameterized-queries/llms.txt): Learn about how to use parameterized queries?.
- [What controls the frequency of queries?](https://docs.atlan.com/llms/catalog/insights/query-frequency/llms.txt): Learn about what controls the frequency of queries?.
- [Why do I only see tables from the same schema to join from in a visual query?](https://docs.atlan.com/llms/catalog/insights/join-options-in-visual-query/llms.txt): When creating a visual query, Atlan recommends that you do not select a database or schema in the editor context. Leaving both blank will allow you to discover more tables to join in the Visual Query Builder.
- [Troubleshooting bring your own credentials](https://docs.atlan.com/llms/catalog/insights/troubleshooting-bring-your-own-credentials/llms.txt): Learn about troubleshooting bring your own credentials.
- [Troubleshooting exporting large query results](https://docs.atlan.com/llms/catalog/insights/troubleshooting-exporting-large-query-results/llms.txt): Learn about troubleshooting exporting large query results.

#### [Data Products](https://docs.atlan.com/llms/catalog/data-products/llms.txt)

> Create and manage data products to organize and govern your data assets by domain.

- [Create data domains](https://docs.atlan.com/llms/catalog/data-products/create-data-domains/llms.txt): Data domains provide a logical way of grouping data products within a specific domain or business entity - for example, functions like finance and sales, business units for different products and services, regions of operation, and more. Most importantly, data domains help in fostering collaboration and promote shared ownership and domain-level governance in your organization.
- [Add stakeholders](https://docs.atlan.com/llms/catalog/data-products/add-stakeholders/llms.txt): Add stakeholders to data domains to define people and their responsibilities. Setup requires the products module enabled and update permissions through domain policies for specific domains or subdomains.
- [Create data products](https://docs.atlan.com/llms/catalog/data-products/create-data-products/llms.txt): You can either create a data product from the products module or lineage graph.
- [Create domain policies](https://docs.atlan.com/llms/catalog/data-products/create-domain-policies/llms.txt): Domain policies let you control which users can (or can't) take certain actions within a data domain or subdomain - for example, creating subdomains and data products, updating metadata, and more.
- [Monitor data domains](https://docs.atlan.com/llms/catalog/data-products/monitor-data-domains/llms.txt): Monitor data domains using the Statistics tab to track data products, enrichment metrics, creation trends, and domain usage. Setup requires the products module enabled and domain owner or admin permissions in Atlan.
- [What is business lineage?](https://docs.atlan.com/llms/catalog/data-products/what-is-business-lineage/llms.txt): Learn about what is business lineage?.
- [What is a product score?](https://docs.atlan.com/llms/catalog/data-products/what-is-a-product-score/llms.txt): Learn about what is a product score?.
- [Data Products](https://docs.atlan.com/llms/catalog/data-products/what-are-data-products/llms.txt): From a single data table to a collection of data assets, anything can be a data product in Atlan. Data products provide a framework for your teams to curate assets specific to a domain, business unit, region of operation, brand, and more. These curated data products then empower your data consumers to easily discover data assets, quickly get the context they need, and collaborate more efficiently.
- [Asset export (basic) for data products](https://docs.atlan.com/llms/catalog/data-products/asset-export-basic/llms.txt): Export data products, domains, and subdomains as CSV — includes scope, metadata, and delivery configuration options.
- [Asset Import for data products](https://docs.atlan.com/llms/catalog/data-products/asset-import-data-products/llms.txt): Bulk import data product definitions and associated assets from CSV files — configure domains, subdomains, product mappings, and asset scope.
- [Design and roll out data products](https://docs.atlan.com/llms/catalog/data-products/design-and-roll-out-data-products/llms.txt): Scope data products around use cases, model domains and ports correctly, govern publishing at scale, and pilot without over-engineering.

#### [Discovery](https://docs.atlan.com/llms/catalog/discovery/llms.txt)

> Find data assets across your organization using conversational AI, MCP, or structured filters.

- [Search with conversational AI](https://docs.atlan.com/llms/catalog/discovery/search-with-conversational-ai/llms.txt): Find data assets using natural language questions with conversational AI. Search without filters or schema knowledge by asking about ownership, data quality, and lineage.
- [Search with Model Context Protocol (MCP)](https://docs.atlan.com/llms/catalog/discovery/search-with-mcp/llms.txt): Discover assets from within your AI coding tools by connecting Claude, Cursor, ChatGPT, or any MCP-compatible AI tool to your Atlan catalog. Query asset definitions, ownership, certification, and lineage without leaving your workflow using the Atlan MCP server.
- [Structured search](https://docs.atlan.com/llms/catalog/discovery/search-and-discover-assets/llms.txt): Use Atlan's structured search to find assets with precision using keywords, filters, and facets. Filter by source, certification, owner, tags, and save searches for sharing and quick access.
- [Use filters menu](https://docs.atlan.com/llms/catalog/discovery/use-the-filters-menu/llms.txt): You can refine the search for your assets in Atlan using the filters menu. Add filters to your asset search to find assets that are more relevant to you.
- [Add a resource](https://docs.atlan.com/llms/catalog/discovery/add-a-resource/llms.txt): Need to redirect users to important information that's outside Atlan?
- [Add an alias](https://docs.atlan.com/llms/catalog/discovery/add-an-alias/llms.txt): Add business-oriented aliases to assets to improve readability and provide context. Setup supports manual entry or AI-generated aliases when Atlan AI is enabled.
- [Add certificates](https://docs.atlan.com/llms/catalog/discovery/add-certificates/llms.txt): How many times has someone complained to you that the data is incomplete or has issues? And how many times have you responded that it's still a work in progress or they're using the wrong data!
- [Add custom metadata](https://docs.atlan.com/llms/catalog/discovery/add-custom-metadata/llms.txt): Learn how to add custom metadata to your data assets in Atlan.
- [Add descriptions](https://docs.atlan.com/llms/catalog/discovery/add-descriptions/llms.txt): You can add descriptions to your assets in Atlan, including tables, views, and individual columns. You can even add a description in the form of a README. Doing so enriches your data asset with the relevant contextual information.
- [Add owners](https://docs.atlan.com/llms/catalog/discovery/add-owners/llms.txt): Add owners to data assets to establish clear responsibility and build trust. Asset owners maintain the asset and serve as the primary contact for questions about data frequency, status, and quality.
- [Access archived assets](https://docs.atlan.com/llms/catalog/discovery/access-archived-assets/llms.txt): Find and view archived assets in Atlan using the filter menu. Archived assets are soft-deleted and removed from search results by default, but can be recovered and accessed through discovery filters.
- [Detect duplicate assets](https://docs.atlan.com/llms/catalog/discovery/detect-duplicate-assets/llms.txt): Identify potentially duplicate assets based on shared column structures using the Duplicate detector app. The workflow scans assets, groups those with identical columns, and records results as glossary terms linked to all matching assets.
- [Export certified assets via email](https://docs.atlan.com/llms/catalog/discovery/export-certified-assets-by-email/llms.txt): Export a filtered set of certified assets from Atlan as a CSV file and deliver it directly to email recipients. The Asset export (advanced) app lets you share governance summaries and asset inventories with stakeholders who don't have direct Atlan access.
- [Import assets from S3](https://docs.atlan.com/llms/catalog/discovery/how-to-import-assets-from-s3/llms.txt): Bulk import or update asset metadata in Atlan using a CSV file stored in Amazon S3. The Asset Import app supports direct CSV import from S3 buckets, enabling you to create or update connections, databases, schemas, tables, and columns in one workflow.
- [Star assets](https://docs.atlan.com/llms/catalog/discovery/star-assets/llms.txt): Star your most-used assets to bookmark them for quick access. Starred assets appear in a personalized widget, can be sorted by star count, and can trigger notifications for metadata updates via Slack or Microsoft Teams.
- [How AI Application Risk Classifier evaluates metadata](https://docs.atlan.com/llms/catalog/discovery/how-metadata-is-classified-as-risk/llms.txt): Understand how the AI Application Risk Classifier evaluates AI Application metadata based on the EU AI Act framework.
- [Configure risk metadata](https://docs.atlan.com/llms/catalog/discovery/risk-metadata/llms.txt): Configuration reference for enriching AI Application assets with risk metadata using the AI Application Risk Classifier.
- [How to interpret timestamps](https://docs.atlan.com/llms/catalog/discovery/how-to-interpret-timestamps/llms.txt): Learn about how to interpret timestamps.
- [What are asset profiles?](https://docs.atlan.com/llms/catalog/discovery/what-are-asset-profiles/llms.txt): Learn about what are asset profiles?.
- [Adoption export](https://docs.atlan.com/llms/catalog/discovery/adoption-export/llms.txt): Export adoption metrics and usage data from Atlan for analysis and stakeholder reporting. Reference for workflow configuration, metrics options, file formats, and delivery destinations.
- [Asset export (advanced)](https://docs.atlan.com/llms/catalog/discovery/asset-export-advanced/llms.txt): Complete configuration reference for the Asset export (advanced) app, including output destinations, filter logic, and export attribute selection.
- [Asset export (basic) for enriched assets](https://docs.atlan.com/llms/catalog/discovery/asset-export-enriched/llms.txt): Complete configuration reference for the Asset export (basic) app for enriched assets, including scope, filters, delivery, and CSV file details.
- [Asset Import](https://docs.atlan.com/llms/catalog/discovery/asset-import/llms.txt): Reference for importing assets into Atlan using a CSV file, including input handling, delta options, and CSV format.
- [Azure API Management Enricher](https://docs.atlan.com/llms/catalog/discovery/azure-api-management-enricher/llms.txt): Enrich API assets in Atlan with metadata from Azure API Management, including specs, paths, and tags. Reference for workflow configuration and API-to-asset mapping settings.
- [Azure Data Lake Storage crawler](https://docs.atlan.com/llms/catalog/discovery/azure-data-lake-storage/llms.txt): Reference for the Azure Data Lake Storage crawler, including authentication, network configuration, filters, and connection options.
- [Enrichment Migrator](https://docs.atlan.com/llms/catalog/discovery/enrichment-migrator/llms.txt): Migrate metadata enrichment between connections during system rebuilds or migrations. Reference for workflow configuration, enrichment selection, and transformation mapping rules.
- [Metadata Completeness](https://docs.atlan.com/llms/catalog/discovery/metadata-completeness/llms.txt): Workflows calculate metadata completeness scores across your data assets to measure enrichment progress. Reference for workflow configuration, scoring criteria, and asset-scoping options.
- [Provide credentials to view sample data](https://docs.atlan.com/llms/catalog/discovery/provide-credentials-to-view-sample-data/llms.txt): Learn about provide credentials to view sample data.
- [Relational Assets Builder](https://docs.atlan.com/llms/catalog/discovery/references-relational-assets-builder/llms.txt): Create and manage relational asset hierarchies in Atlan from CSV definitions. Reference for workflow configuration, CSV format, field mappings, and behavioral settings.
- [Troubleshooting Relational Assets Builder](https://docs.atlan.com/llms/catalog/discovery/troubleshooting-relational-assets-builder/llms.txt): Resolve common issues with the Relational Assets Builder app, including the "Term found with no anchor" import failure caused by orphaned archived glossary terms.
- [Sync Confluence pages to asset Readmes](https://docs.atlan.com/llms/catalog/discovery/setup-confluence-integration-manager/llms.txt): Sync Confluence page content into asset Readmes using the Confluence integration manager app. The workflow reads URLs from the Resource attribute, fetches page content via the Confluence API, and syncs documentation automatically so Confluence and Atlan stay aligned.
- [Troubleshooting Confluence Integration Manager](https://docs.atlan.com/llms/catalog/discovery/confluence-integration-manager/llms.txt): Resolve common issues with Confluence Integration Manager credentials and authentication.
- [Configure language settings](https://docs.atlan.com/llms/catalog/discovery/configure-language-settings/llms.txt): Customize language settings for your Atlan workspace and personal instance. Admins can set a default workspace language, and individual users can override it with a personal language preference from supported languages.
- [AI Application Risk Classifier](https://docs.atlan.com/llms/catalog/discovery/aiapplication-risk-classifier/llms.txt): Frequently asked questions about the AI Application Risk Classifier app.
- [Discovery FAQs](https://docs.atlan.com/llms/catalog/discovery/faq/llms.txt): Frequently asked questions about Atlan's Discovery capabilities.

#### [Lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/llms.txt)

> Open, interoperable data lakehouse platform that makes all of your Atlan metadata instantly accessible to power reporting and AI use cases

- [Connect query engine](https://docs.atlan.com/llms/catalog/lakehouse/connect-query-engines/llms.txt): Get your Lakehouse connection details and connect your preferred Iceberg REST–compatible client
- [Connect Snowflake to Lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/connect-snowflake/llms.txt): Connect Snowflake to Atlan's Lakehouse using Snowflake's catalog-linked database feature to query metadata in standard SQL. Setup creates a catalog integration that links Atlan's Iceberg REST Catalog to Snowflake.
- [Connect Amazon Athena to Lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/connect-athena/llms.txt): Connect Amazon Athena to Atlan's Lakehouse using AWS Glue Catalog Federation. Setup registers Atlan's Iceberg REST Catalog as a federated data source in Lake Formation, making Lakehouse tables available to Athena and other AWS query engines.
- [Connect PySpark to Lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/connect-pyspark/llms.txt): Connect PySpark to Atlan's Lakehouse through the Iceberg REST catalog with Polaris credential vending. Credential vending automatically issues short-lived cloud storage credentials for each request without requiring hardcoded storage access keys.
- [Connect BigQuery to Lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/connect-bigquery/llms.txt): Connect BigQuery to Atlan's Lakehouse to query catalog metadata from BigQuery SQL. Setup requires a BigQuery connection (Cloud Resource for GCS-backed tenants or BigLake on AWS for S3-backed tenants), a one-time storage access grant from Atlan Support, and a Python script that creates the external tables.
- [Connect Databricks to Lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/connect-databricks/llms.txt): Connect Databricks to Atlan's Lakehouse using foreign Iceberg tables in Unity Catalog to query metadata. Setup creates storage credentials and an external location pointing to Atlan's Lakehouse data in your cloud storage.
- [Overview](https://docs.atlan.com/llms/catalog/lakehouse/overview/llms.txt): Explore practical Lakehouse use cases across metadata quality, lineage, cost optimization, and glossary analysis.
- [Metadata completeness tracking](https://docs.atlan.com/llms/catalog/lakehouse/metadata-completeness-tracking/llms.txt): Use Lakehouse to track metadata enrichment coverage across assets and systems.
- [Metadata export](https://docs.atlan.com/llms/catalog/lakehouse/metadata-export-talk-to-data-marketplace-reverse-sync/llms.txt): Use Lakehouse to export rich metadata for AI applications, data marketplaces, and syncing context back to source systems.
- [Business Graph analysis and export](https://docs.atlan.com/llms/catalog/lakehouse/glossary-export-and-analysis/llms.txt): Analyse glossary content, including terms, categories, and assigned assets.
- [Track active users](https://docs.atlan.com/llms/catalog/lakehouse/usage-analytics-active-users/llms.txt): Use Lakehouse to measure daily, weekly, and monthly active users from the usage_analytics namespace.
- [Analyze feature adoption](https://docs.atlan.com/llms/catalog/lakehouse/usage-analytics-feature-adoption/llms.txt): Use Lakehouse to analyze which Atlan features users are adopting and how deeply they engage with each feature area.
- [Assess engagement depth](https://docs.atlan.com/llms/catalog/lakehouse/usage-analytics-engagement-depth/llms.txt): Use Lakehouse to measure how deeply users engage with Atlan through pageview rates, session depth, duration, and user tier analysis.
- [Measure retention](https://docs.atlan.com/llms/catalog/lakehouse/usage-analytics-retention/llms.txt): Use Lakehouse to measure user activation, churn, reactivation, and cohort retention for a customer domain.
- [Lineage analysis](https://docs.atlan.com/llms/catalog/lakehouse/lineage-analysis/llms.txt): Use Lakehouse to run advanced lineage analysis across systems and connectors.
- [Lineage full export](https://docs.atlan.com/llms/catalog/lakehouse/lineage-full-export/llms.txt): Export complete lineage information from your metadata lakehouse for reuse across impact, dashboard, and root cause analysis.
- [Lineage identify downstream impacted dashboards](https://docs.atlan.com/llms/catalog/lakehouse/lineage-identify-downstream-impacted-dashboard/llms.txt): Use Lakehouse to find all downstream dashboards impacted by upstream data changes.
- [Lineage impact analysis](https://docs.atlan.com/llms/catalog/lakehouse/lineage-impact-analysis/llms.txt): Use Lakehouse to understand downstream impact before making changes to data assets.
- [Lineage root cause analysis](https://docs.atlan.com/llms/catalog/lakehouse/lineage-root-cause-analysis/llms.txt): Use Lakehouse to trace upstream dependencies and find the source of data issues.
- [Lineage tags coverage across systems](https://docs.atlan.com/llms/catalog/lakehouse/lineage-tags-coverage-across-systems/llms.txt): Use Lakehouse to measure and improve tag coverage and propagation across systems.
- [Query Lakehouse with AI agents](https://docs.atlan.com/llms/catalog/lakehouse/ai-agents/llms.txt): Query Lakehouse metadata using natural language in AI coding agents like Claude Code. Install the atlan-lakehouse skill, which detects your platform and generates appropriate SQL queries.
- [Set up lineage tables](https://docs.atlan.com/llms/catalog/lakehouse/set-up-lineage-tables/llms.txt): Create helper lineage tables in your warehouse for advanced lineage queries that include direction (upstream/downstream), hop level, and asset names. These tables work with Lakehouse's native LINEAGE_ADJACENCY_LIST table.
- [Data reference](https://docs.atlan.com/llms/catalog/lakehouse/data-reference/llms.txt): Overview of namespaces, schemas, and tables available in the Lakehouse
- [ENTITY_METADATA namespace](https://docs.atlan.com/llms/catalog/lakehouse/entity-metadata/llms.txt): Reference documentation for the ENTITY_METADATA namespace containing raw metadata tables for all Atlan assets
- [ENTITY_HISTORY namespace](https://docs.atlan.com/llms/catalog/lakehouse/entity-history/llms.txt): Reference documentation for the ENTITY_HISTORY namespace containing historical snapshots of asset metadata
- [USAGE_ANALYTICS namespace](https://docs.atlan.com/llms/catalog/lakehouse/usage-analytics-namespace/llms.txt): Reference for Segment-derived usage analytics tables available in the Lakehouse
- [OBSERVABILITY namespace](https://docs.atlan.com/llms/catalog/lakehouse/observability-namespace/llms.txt): Reference documentation for the OBSERVABILITY namespace containing job execution metrics, data quality scores, and app execution logs in the Atlan Lakehouse
- [GOLD namespace](https://docs.atlan.com/llms/catalog/lakehouse/references-gold-layer/llms.txt): Reference documentation for the GOLD namespace containing curated tables for human users and AI tools
- [ASSETS table](https://docs.atlan.com/llms/catalog/lakehouse/assets/llms.txt): Reference documentation for the ASSETS table, a unified asset registry that serves as the central lookup for all Gold namespace queries
- [RELATIONAL_ASSET_DETAILS table](https://docs.atlan.com/llms/catalog/lakehouse/sql-assets/llms.txt): Reference documentation for the RELATIONAL_ASSET_DETAILS table containing all relational database and data warehouse assets
- [GLOSSARY_DETAILS table](https://docs.atlan.com/llms/catalog/lakehouse/glossary-assets/llms.txt): Reference documentation for the GLOSSARY_DETAILS table containing glossary, category, and term details
- [DATA_QUALITY_DETAILS table](https://docs.atlan.com/llms/catalog/lakehouse/data-quality-assets/llms.txt): Reference documentation for the DATA_QUALITY_DETAILS table containing all data quality rules and checks
- [PIPELINE_DETAILS table](https://docs.atlan.com/llms/catalog/lakehouse/pipeline-assets/llms.txt): Reference documentation for the PIPELINE_DETAILS table containing data pipeline and orchestration assets
- [BI_ASSET_DETAILS table](https://docs.atlan.com/llms/catalog/lakehouse/bi-assets/llms.txt): Reference documentation for the BI_ASSET_DETAILS table containing BI-specific attributes across PowerBI, Tableau, Looker, and Sigma
- [DATA_MESH_DETAILS table](https://docs.atlan.com/llms/catalog/lakehouse/data-mesh-details/llms.txt): Reference documentation for the DATA_MESH_DETAILS table containing data domain and data product metadata
- [LINEAGE_ADJACENCY_LIST table](https://docs.atlan.com/llms/catalog/lakehouse/lineage-adjacency-list/llms.txt): Reference documentation for the LINEAGE_ADJACENCY_LIST table containing directed lineage edges between assets and processes
- [What is Atlan lakehouse](https://docs.atlan.com/llms/catalog/lakehouse/what-is-atlan-lakehouse/llms.txt): Understand the Lakehouse platform and its role as a single source of truth for metadata across your data estate
- [Security](https://docs.atlan.com/llms/catalog/lakehouse/security/llms.txt): Frequently asked questions about security controls and access protections for Lakehouse.
- [Querying Gold namespace](https://docs.atlan.com/llms/catalog/lakehouse/best-practices-gold-layer/llms.txt): Best practices for querying and using the Gold namespace efficiently.
- [Put Metadata Lakehouse to work](https://docs.atlan.com/llms/catalog/lakehouse/put-the-lakehouse-to-work/llms.txt): Decide when to use MDLH, match your job to the right consumption pattern, and feed metadata to AI the way that stays accurate.
- [Troubleshooting Snowflake errors](https://docs.atlan.com/llms/catalog/lakehouse/snowflake/llms.txt): Resolve common Snowflake errors when querying Lakehouse Iceberg tables and Polaris catalog-linked databases.
- [Troubleshooting BigQuery errors](https://docs.atlan.com/llms/catalog/lakehouse/bigquery/llms.txt): Resolve common BigQuery errors when querying Lakehouse Iceberg tables using external Iceberg tables.
- [Troubleshooting Databricks errors](https://docs.atlan.com/llms/catalog/lakehouse/databricks/llms.txt): Resolve common Databricks errors when creating and querying foreign Iceberg tables in Unity Catalog.
- [Troubleshooting Athena errors](https://docs.atlan.com/llms/catalog/lakehouse/athena/llms.txt): Resolve common issues when querying Lakehouse Iceberg tables from Amazon Athena via the AWS Glue Data Catalog.

#### [Lineage](https://docs.atlan.com/llms/catalog/lineage/llms.txt)

> Track and visualize data lineage across your data landscape to understand data flow and dependencies.

- [view lineage](https://docs.atlan.com/llms/catalog/lineage/view-lineage/llms.txt): The lineage graph in Atlan provides a granular view of the data flows and transformations for your assets. To learn how to use the lineage graph, complete the following steps.
- [Set up Cross-Connection Lineage](https://docs.atlan.com/llms/catalog/lineage/set-up-standard-lineage-workflow/llms.txt): Generate lineage across multiple connections in the same connector using the Atlan Standard Lineage app. Covers BigQuery cross-connection lineage setup, prerequisites, configuration, and known limitations.
- [Download and export lineage](https://docs.atlan.com/llms/catalog/lineage/download-and-export-lineage/llms.txt): View, download, and export lineage reports to analyze data flows and impact. Create CSV impact reports, export lineage graphs as images, and share lineage data to Google Sheets and Microsoft Excel for impact analysis and root cause analysis.
- [Generate lineage between assets](https://docs.atlan.com/llms/catalog/lineage/generate-lineage-no-transformations/llms.txt): Automatically create lineage between assets across two connections when their names match or follow a consistent pattern. The Lineage Generator (no transformations) app creates direct lineage relationships for data flows between databases, warehouses, or storage systems.
- [Build lineage from CSV](https://docs.atlan.com/llms/catalog/lineage/build-lineage-from-csv/llms.txt): Import lineage relationships between assets from a CSV file using the Lineage Builder app. Create lineage connections that include transformation processes, ETL workflows, dbt models, and custom data pipelines that aren't automatically discovered by connectors.
- [Generate lineage with Generic Miner](https://docs.atlan.com/llms/catalog/lineage/generate-lineage-with-generic-miner/llms.txt): Configure and run Generic Miner to extract table-level and column-level lineage from SQL query history stored in Atlan's object store, Amazon S3, Google Cloud Storage, or Azure Blob Storage—without a live connection to the source system.
- [Propagate metadata through lineage](https://docs.atlan.com/llms/catalog/lineage/propagate-metadata-through-lineage/llms.txt): Propagate metadata like owners, certificates, and tags from upstream assets to downstream dependents automatically using the Metadata Propagator app. The app follows existing lineage relationships to push governance metadata downstream without manual updates.
- [Load lineage and assets from CSV](https://docs.atlan.com/llms/catalog/lineage/load-lineage-and-assets-from-csv/llms.txt): Create lineage and optionally generate assets in Atlan from a source-to-target CSV mapping file stored in Amazon S3. The Lineage and asset loader app reads CSV mappings, creates lineage relationships, and optionally creates missing source or target assets.
- [Transfer orchestration task attributes to assets](https://docs.atlan.com/llms/catalog/lineage/transfer-orchestration-task-attributes/llms.txt): Propagate operational attributes from orchestration tasks and jobs to connected assets using the Orchestration tasks attribute transfer app. Transfer run status, schedules, run timestamps, and task links to upstream or downstream assets through lineage.
- [Column Level Lineage](https://docs.atlan.com/llms/catalog/lineage/what-is-column-level-lineage/llms.txt): Data lineage shows the upstream and downstream dependencies of an asset. For a more granular view of these dependencies, you can view column-level lineage.
- [Lineage](https://docs.atlan.com/llms/catalog/lineage/what-is-lineage/llms.txt): Data lineage captures how data moves across your data landscape. This information is useful to:.
- [What are partial assets?](https://docs.atlan.com/llms/catalog/lineage/what-are-partial-assets/llms.txt): Learn about what are partial assets?.
- [What are processes?](https://docs.atlan.com/llms/catalog/lineage/what-are-processes/llms.txt): Learn about what are processes?.
- [Capture, read, and troubleshoot lineage](https://docs.atlan.com/llms/catalog/lineage/capture-and-troubleshoot-lineage/llms.txt): How to choose a lineage-generation mechanism, understand column-level and cross-system limits, run an impact analysis, report coverage honestly, and diagnose missing lineage.
- [How can Atlan generate upstream lineage from the data warehouse layer?](https://docs.atlan.com/llms/catalog/lineage/how-can-atlan-generate-upstream-lineage-from-the-data-warehouse-layer/llms.txt): Learn about how can atlan generate upstream lineage from the data warehouse layer?.
- [Alert propagation](https://docs.atlan.com/llms/catalog/lineage/alert-propagation/llms.txt): Propagate data-quality alerts downstream through asset lineage to surface impact across the catalog. Reference for workflow configuration, scope rules, and propagation-behavior settings.
- [Lineage Builder](https://docs.atlan.com/llms/catalog/lineage/lineage-builder/llms.txt): Complete configuration reference for the Lineage Builder app properties and settings, including CSV file format and asset handling options.
- [Power BI OLS dataset enrichment](https://docs.atlan.com/llms/catalog/lineage/pbi-ols-dataset-enricher/llms.txt): Complete configuration reference for Power BI OLS dataset enrichment in the Microsoft Power BI crawler, including the BIM file fields, S3 authentication, and how it restores Power BI lineage broken by OLS.
- [Metadata Propagator](https://docs.atlan.com/llms/catalog/lineage/metadata-propagator/llms.txt): Complete configuration reference for the Metadata Propagator app, including propagation direction, attribute selection, filters, and matching behavior.
- [Lineage and asset loader](https://docs.atlan.com/llms/catalog/lineage/lineage-asset-loader/llms.txt): Complete configuration reference for the Lineage and asset loader app, including S3 authentication methods, CSV file schema, asset creation controls, and workflow settings.
- [Orchestration tasks attribute transfer](https://docs.atlan.com/llms/catalog/lineage/orchestration-tasks-attribute-transfer/llms.txt): Complete configuration reference for the Orchestration tasks attribute transfer app, including connector selection, custom metadata mapping, transfer direction, and filter options.
- [Microsoft Dataverse crawler](https://docs.atlan.com/llms/catalog/lineage/microsoft-dataverse-crawler/llms.txt): Catalog Microsoft Dataverse entities and their relationships in Atlan as lineage. Reference for crawler configuration, entity selection, relationship mapping, and sync options.
- [Lineage Generator (no transformations)](https://docs.atlan.com/llms/catalog/lineage/lineage-generator/llms.txt): Learn how Atlan can generate upstream lineage from the data warehouse layer, including configuration options and behavior.
- [Source asset type](https://docs.atlan.com/llms/catalog/lineage/source-asset-type/llms.txt): Override the asset type assigned to assets derived from source system metadata. Reference for supported asset types, qualified-name parsing rules, and configuration options.
- [Can Atlan integrate with Airflow to generate lineage?](https://docs.atlan.com/llms/catalog/lineage/airflow-lineage-integration/llms.txt): Atlan currently supports native integration with Apache Airflow/OpenLineage.
- [Can Atlan read a dump of SQL statements to create lineage?](https://docs.atlan.com/llms/catalog/lineage/sql-dump-lineage-support/llms.txt): Atlan supports column-level lineage generation for cloud data warehouses like Snowflake, Amazon Redshift, Google BigQuery, and more.
- [Can I be notified if there is a change in downstream dashboards or a schema drift?](https://docs.atlan.com/llms/catalog/lineage/lineage-change-notifications/llms.txt): You can create webhooks in Atlan to configure alerts or triggers for downstream actions for metadata change events, including schema changes. You can also configure alerts for asset creation or deletion events.
- [Does Atlan support field-level lineage for BI tools?](https://docs.atlan.com/llms/catalog/lineage/field-level-lineage-bi-tools/llms.txt): Atlan supports field-level lineage across most BI sources that have the concept of fields.
- [Does lineage only cover calculated fields for Tableau dashboards?](https://docs.atlan.com/llms/catalog/lineage/tableau-calculated-fields-lineage/llms.txt): Atlan displays upstream as well as downstream lineage for Tableau dashboards.
- [How do you enable data lineage for different data sources?](https://docs.atlan.com/llms/catalog/lineage/enable-lineage-for-sources/llms.txt): Learn about how do you enable data lineage for different data sources?.
- [How does a Snowflake connection know that a table referenced in LookML is actually the same table?](https://docs.atlan.com/llms/catalog/lineage/snowflake-lookml-table-matching/llms.txt): Learn about how does a snowflake connection know that a table referenced in lookml is actually the same table?.
- [How does Atlan handle lineage from Spark jobs?](https://docs.atlan.com/llms/catalog/lineage/spark-lineage-handling/llms.txt): Learn about how does atlan handle lineage from spark jobs?.
- [How is the Atlan lineage graph depicted using Power BI measures?](https://docs.atlan.com/llms/catalog/lineage/power-bi-measures-lineage-graph/llms.txt): Learn about how is the atlan lineage graph depicted using power bi measures?.
- [How to obtain upstream lineage if I connect to a Tableau data asset?](https://docs.atlan.com/llms/catalog/lineage/tableau-upstream-lineage/llms.txt): Learn about how to obtain upstream lineage if i connect to a tableau data asset?.
- [What are Power BI processes on the lineage graph?](https://docs.atlan.com/llms/catalog/lineage/power-bi-lineage-processes/llms.txt): Note that process entities may not have a counterpart entity in Microsoft Power BI. Consider these to be nodes that you can enrich with metadata to describe the process or relationship between two Microsoft Power BI assets.
- [What do the numbers in lineage view mean?](https://docs.atlan.com/llms/catalog/lineage/lineage-view-number-meaning/llms.txt): Learn about what do the numbers in lineage view mean?.
- [What lineage do you support?](https://docs.atlan.com/llms/catalog/lineage/supported-lineage-types/llms.txt): Learn about what lineage do you support?.
- [Why is lineage available for table level but not column level?](https://docs.atlan.com/llms/catalog/lineage/table-level-lineage-only/llms.txt): The home icon on top of any asset on the lineage graph indicates the current asset in focus. The lineage view will be different based on the asset you're viewing. To view column-level lineage for supported sources, click **view columns** and then select a column to view data flows for that particular asset.
- [Why is the SQL query visible only in Snowflake process and not in dbt process nodes?](https://docs.atlan.com/llms/catalog/lineage/sql-query-visibility-snowflake/llms.txt): Atlan displays SQL queries for dbt process nodes between SQL tables and also on dbt models. However, Atlan does not display dbt process nodes between two dbt assets - for example, between two models. This is because Atlan does not use any SQL query to generate this type of lineage.
- [Troubleshooting lineage](https://docs.atlan.com/llms/catalog/lineage/troubleshooting-lineage/llms.txt): So you've crawled your source, and mined the queries, but lineage is missing. Why?
- [Why is my Databricks lineage API not working?](https://docs.atlan.com/llms/catalog/lineage/why-is-my-databricks-lineage-api-not-working/llms.txt): Learn about why is my databricks lineage api not working?.

#### [Reporting](https://docs.atlan.com/llms/catalog/reporting/llms.txt)

> Generate comprehensive reports on your data assets, usage, and governance.

- [Report on glossaries](https://docs.atlan.com/llms/catalog/reporting/report-on-glossaries/llms.txt): Track glossaries, categories, and terms in the reporting center dashboard. View high-level metrics, filter by glossary and category, track term-asset linkages, and manage recently created terms and categories.
- [Report on automations](https://docs.atlan.com/llms/catalog/reporting/report-on-automations/llms.txt): You can track asset enrichment through suggestions from similar assets. You can also view top users who have accepted automated suggestions.
- [Report on queries](https://docs.atlan.com/llms/catalog/reporting/report-on-queries/llms.txt): The Data Exploration dashboard in the reporting center helps you track metrics for all your queries and query runs.
- [Report on usage and cost](https://docs.atlan.com/llms/catalog/reporting/report-on-usage-and-cost/llms.txt): Monitor asset usage and compute costs in the reporting center dashboard. Track storage consumption, identify least-used assets for deprecation, and analyze top queries and most expensive assets across your data estate.
- [Report on governance](https://docs.atlan.com/llms/catalog/reporting/report-on-governance/llms.txt): Monitor governance metrics in the reporting center dashboard. Track query access for personas and purposes, view tag propagation across assets, and manage governance requests from a centralized view.
- [Summarize metadata](https://docs.atlan.com/llms/catalog/reporting/summarize-metadata/llms.txt): Use the reporting center to track asset enrichment, monitor metadata updates, and review governance metrics. Access dashboards for asset metrics, glossaries, governance, queries, automations, and usage and cost tracking.
- [Report on assets](https://docs.atlan.com/llms/catalog/reporting/how-to-report-on-assets/llms.txt): Learn about report on assets.
- [How do I see views instead of materialized views in the reporting center?](https://docs.atlan.com/llms/catalog/reporting/reporting-materialized-views/llms.txt): On the _Assets_ dashboard in the reporting center, click **View** in the _All Asset Types_ dropdown menu to only see views. You can further filter by selecting a specific connector or connection as well.
- [Is there a dashboard to see how my metadata is populated?](https://docs.atlan.com/llms/catalog/reporting/dashboard-metadata/llms.txt): Learn about is there a dashboard to see how my metadata is populated?.

#### [Requests](https://docs.atlan.com/llms/catalog/requests/llms.txt)

> Request and manage changes to assets that you don't have direct edit access to.

- [Manage requests](https://docs.atlan.com/llms/catalog/requests/manage-requests/llms.txt): If your organization's Slack account is integrated with Atlan, you will receive Slack notifications when your requests are approved or rejected.
- [Requests](https://docs.atlan.com/llms/catalog/requests/what-are-requests/llms.txt): Requests allow users to suggest changes to assets that they cannot directly change themselves.

#### [Usage and Popularity](https://docs.atlan.com/llms/catalog/usage-and-popularity/llms.txt)

> Track and analyze how your data assets are being used across your organization.

- [Find assets by usage](https://docs.atlan.com/llms/catalog/usage-and-popularity/find-assets-by-usage/llms.txt)
- [Interpret usage metrics](https://docs.atlan.com/llms/catalog/usage-and-popularity/interpret-usage-metrics/llms.txt)
- [Troubleshooting usage and popularity metrics](https://docs.atlan.com/llms/catalog/usage-and-popularity/troubleshooting-usage-and-popularity-metrics/llms.txt): Learn about troubleshooting usage and popularity metrics.
- [Profiling and popularity](https://docs.atlan.com/llms/catalog/usage-and-popularity/how-tos/llms.txt): Retrieve profiling data and asset popularity statistics programmatically using the Atlan Python SDK (pyatlan).
- [Manage column profiling](https://docs.atlan.com/llms/catalog/usage-and-popularity/manage-column-profiling/llms.txt): Read and manage column-level profiling data in Atlan using Column and the Python SDK (pyatlan). Set min, max, distinct count, and other statistics on relational column assets.
- [Manage popularity insights](https://docs.atlan.com/llms/catalog/usage-and-popularity/manage-popularity/llms.txt): Retrieve and manage asset popularity insights in Atlan using PopularityInsights and the Python SDK (pyatlan). Access user activity and performance metrics.

---

## Govern context

→ Full index: [/llms/governance/llms.txt](https://docs.atlan.com/llms/governance/llms.txt) (shared with Administer)

#### [Business Graph](https://docs.atlan.com/llms/governance/glossary/llms.txt)

> Learn how to create and maintain a centralized business glossary in Atlan to standardize terminology and definitions across your organization.

- [Set up glossaries](https://docs.atlan.com/llms/governance/glossary/set-up-glossaries/llms.txt): The Atlan glossary allows you to add new terms and categories, search for existing glossary definitions, and archive old ones. You can also nest terms under categories and subcategories to create a glossary hierarchy.
- [Bulk upload terms in the glossary](https://docs.atlan.com/llms/governance/glossary/bulk-upload-terms-in-the-glossary/llms.txt): Learn about bulk upload terms in the glossary.
- [Automate term–asset links](https://docs.atlan.com/llms/governance/glossary/automate-term-asset-links/llms.txt): Use the Asset-term link app to automatically create and manage links between glossary terms and matching assets based on names and filters.
- [Link terms to assets](https://docs.atlan.com/llms/governance/glossary/link-terms-to-assets/llms.txt): Once you've set up a glossary, you can link terms from your glossary to your data assets in Atlan.
- [Import glossary from CSV File](https://docs.atlan.com/llms/governance/glossary/how-to-import-from-file/llms.txt): Step-by-step guide to importing glossary terms, categories, and glossaries into Atlan using a local CSV file.
- [A Business Graph](https://docs.atlan.com/llms/governance/glossary/what-is-a-glossary/llms.txt): A glossary is a list of terms that is organized in a specific way to help users understand their data assets. For example, terms like `cost`, `P&L`, and `revenue` can be used to group and search all financial data assets.
- [Asset export (basic) for glossaries](https://docs.atlan.com/llms/governance/glossary/asset-export-basic/llms.txt): Export glossary terms and categories as CSV — includes scope, business metadata, and delivery configuration options.
- [Asset Import for glossaries](https://docs.atlan.com/llms/governance/glossary/asset-import-glossaries/llms.txt): Bulk import glossary terms and assets from CSV files — configure term hierarchy, relationships, and business metadata.
- [Asset - term link](https://docs.atlan.com/llms/governance/glossary/asset-term-link/llms.txt): Automatically link glossary terms to matching assets — map terms by name patterns, asset types, and custom filters.
- [Alation migration assistant](https://docs.atlan.com/llms/governance/glossary/alation-migration-assistant/llms.txt): Migrate glossary terms, tags, and metadata from Alation to Atlan—configure asset mapping, image handling, and custom metadata preservation.
- [Business Graph update request approval issue](https://docs.atlan.com/llms/governance/glossary/glossary-approval-issue/llms.txt): Learn about why am i unable to approve a glossary update request?.
- [Can I add duplicate glossary terms?](https://docs.atlan.com/llms/governance/glossary/add-duplicate-glossary-terms/llms.txt): Each term in a glossary should be unique. Duplicate terms in the same glossary may cause confusion rather than provide the context that users need.
- [What is the default permission for a glossary?](https://docs.atlan.com/llms/governance/glossary/glossary-default-permissions/llms.txt): By default, users can search and discover glossaries in Atlan, irrespective of their user role. The rationale being that glossaries are meant to be accessible to all users who want to understand business context. You can define a glossary policy to control what users can do with glossary metadata and create a persona to curate edit access.
- [How can I use personas to update a term in a glossary?](https://docs.atlan.com/llms/governance/glossary/update-personas-glossary-terms/llms.txt): By default, any user in Atlan can view all glossaries and nested categories and terms in the _Glossary_ section.
- [Can I create backups of glossaries?](https://docs.atlan.com/llms/governance/glossary/create-glossary-backups/llms.txt): Atlan also allows you to export your glossary assets to spreadsheets and keep a record of your contextual information.
- [How do I fully delete glossary terms or archived items?](https://docs.atlan.com/llms/governance/glossary/delete-glossary-terms/llms.txt): Learn about how do i fully delete glossary terms or archived items?.
- [Structure your glossary, taxonomy, and metrics catalog](https://docs.atlan.com/llms/governance/glossary/structure-glossary-and-metrics/llms.txt): How to choose glossary structure, model metrics and KPIs as first-class terms, sequence rollout so the catalog actually gets populated, and ground the semantic layer for AI.
- [Business Graph introduction](https://docs.atlan.com/llms/governance/glossary/how-tos/llms.txt): Create, manage, and organize glossary assets including glossaries, categories, and terms using the Atlan Python SDK (pyatlan).
- [Creating glossary objects](https://docs.atlan.com/llms/governance/glossary/create-glossary-objects/llms.txt): Create glossaries, categories, and terms programmatically using the Atlan Python SDK (pyatlan) and the Business Graph API.
- [Fetch glossary objects by name](https://docs.atlan.com/llms/governance/glossary/retrieve-by-name/llms.txt): Retrieve glossary objects by name using the Atlan Python SDK (pyatlan). Fetch glossaries, terms, and categories programmatically.
- [Business Graph category hierarchy](https://docs.atlan.com/llms/governance/glossary/create-hierarchy/llms.txt): Create nested glossary category hierarchies programmatically using the Atlan Python SDK (pyatlan) and AtlasGlossaryCategory.
- [Traverse glossary categories](https://docs.atlan.com/llms/governance/glossary/traverse-hierarchy/llms.txt): Traverse glossary category hierarchies in Atlan using AtlasGlossaryCategory and the Python SDK (pyatlan). Navigate parent-child relationships to list sub-categories and their terms.
- [Categorize terms](https://docs.atlan.com/llms/governance/glossary/categorize-terms/llms.txt): Organize glossary terms into categories programmatically using the Atlan Python SDK (pyatlan) and AtlasGlossaryTerm.

#### [Context Engineering Studio](https://docs.atlan.com/llms/governance/context-engineering-studio/llms.txt)

> Assemble, test, and ship the business context every AI agent needs to produce accurate, trustworthy answers.

- [Enable Context Engineering Studio](https://docs.atlan.com/llms/governance/context-engineering-studio/get-started/llms.txt): Enable Context Engineering Studio on your Atlan tenant in Atlan Labs, assign access to your team by enabling the CES flag on a persona, and optionally enable Data Exploration for richer semantic models seeded from sample values.
- [Create your context repository](https://docs.atlan.com/llms/governance/context-engineering-studio/build/llms.txt): Describe your use case in Context Engineering Studio, approve the assets CES proposes, and review the semantic model it assembles. The repository references your Atlan assets instead of copying them.
- [Run simulations](https://docs.atlan.com/llms/governance/context-engineering-studio/simulate/llms.txt): Simulations in Context Engineering Studio run autogenerated question sets on your context repository to surface where it answers well, where it misses, and the specific descriptions, joins, filters, or assets to add next.
- [Grant Snowflake permissions](https://docs.atlan.com/llms/governance/context-engineering-studio/grant-snowflake-permissions/llms.txt): Grant the Snowflake permissions Context Engineering Studio needs to deploy a context repository to Snowflake Cortex Analyst. Required only at deploy time. You can connect, build, and simulate without them.
- [Deploy to Snowflake Cortex Analyst](https://docs.atlan.com/llms/governance/context-engineering-studio/deploy-snowflake/llms.txt): Deploy a context repository from Context Engineering Studio to Snowflake Cortex Analyst as a Semantic View, then grant access to your business users and verify the view in Snowflake.
- [Grant Databricks permissions](https://docs.atlan.com/llms/governance/context-engineering-studio/grant-databricks-permissions/llms.txt): Grant the Unity Catalog and workspace permissions Context Engineering Studio needs to deploy a context repository to Databricks Genie. Required at deploy time. On Databricks, Simulate also runs on a live Genie Space, so simulating requires a first deploy.
- [Deploy to Databricks Genie](https://docs.atlan.com/llms/governance/context-engineering-studio/deploy-databricks/llms.txt): Deploy a context repository in Context Engineering Studio to Databricks Genie. CES pushes descriptions into Unity Catalog, creates one Metric View per table, and configures a Genie Space. On Databricks, deploying is part of the build cycle because building and simulating both run on the live Genie Space.
- [What is Context Engineering Studio?](https://docs.atlan.com/llms/governance/context-engineering-studio/what-is-context-engineering-studio/llms.txt): Context Engineering Studio (CES) is Atlan's workspace for assembling, testing, and deploying the business context AI agents need to answer questions accurately. CES assembles a context repository for one use case from the governed context in your Atlan catalog and glossary, then makes it available to Snowflake Cortex Analyst, Databricks Genie, dbt, and Claude.
- [What's in a context repository](https://docs.atlan.com/llms/governance/context-engineering-studio/whats-in-a-context-repository/llms.txt): A Context Engineering Studio repository holds linked assets that reference your governed Atlan context, and a semantic model that says how those assets answer questions. This page covers both, and how to scope a repository to one use case.
- [Portability targets](https://docs.atlan.com/llms/governance/context-engineering-studio/portability-targets/llms.txt): The engines and agents a Context Engineering Studio repository serves: which deploy directly, which render a format for you to take away, and which read it over MCP.
- [Metrics that aren't emitted](https://docs.atlan.com/llms/governance/context-engineering-studio/not-emitted-metrics/llms.txt): Why Context Engineering Studio holds some metrics back from a deployed engine, where those metrics are still available, and what happens when CES repairs a metric automatically to meet an engine requirement.
- [Troubleshoot Context Engineering Studio](https://docs.atlan.com/llms/governance/context-engineering-studio/troubleshooting/llms.txt): Find troubleshooting guides for Context Engineering Studio organized by query engine. Covers Snowflake Cortex Analyst setup, Databricks Genie deployment, OAuth, Unity Catalog, Cortex preflight checks, and chat errors.
- [Troubleshoot Snowflake errors](https://docs.atlan.com/llms/governance/context-engineering-studio/snowflake/llms.txt): Resolve common Snowflake errors in Context Engineering Studio, including preflight check failures, generation errors, YAML validation issues, evaluation timeouts, Cortex Analyst deployment failures, JWT authentication, and chat errors.
- [Troubleshoot Databricks errors](https://docs.atlan.com/llms/governance/context-engineering-studio/databricks/llms.txt): Resolve common Databricks errors in Context Engineering Studio, including OAuth token failures, Genie Space creation issues, Unity Catalog access errors, Metric View YAML validation, SQL warehouse problems, and chat errors.

#### [Contracts](https://docs.atlan.com/llms/governance/contracts/llms.txt)

> Learn how to manage data contracts and agreements in Atlan to ensure data quality and compliance.

- [Create data contracts](https://docs.atlan.com/llms/governance/contracts/create-data-contracts/llms.txt): Create data contracts to standardize agreements between data producers and consumers. Setup requires a YAML contract template and support for data quality rules enforcement.
- [Add contract impact analysis in GitHub](https://docs.atlan.com/llms/governance/contracts/add-contract-impact-analysis-in-github/llms.txt): Add contract impact analysis to GitHub pull requests using the Atlan GitHub Action. Setup requires an API token or OAuth client with persona and metadata policy permissions.
- [Data contracts overview](https://docs.atlan.com/llms/governance/contracts/how-tos/llms.txt): Overview of managing data contracts in the Atlan Python SDK (pyatlan). Create and manage data contracts programmatically using the SDK.
- [Manage data contracts via SDKs](https://docs.atlan.com/llms/governance/contracts/manage-via-sdk/llms.txt): Manage data contracts for assets in Atlan programmatically using the Python SDK (pyatlan).
- [Manage data contracts](https://docs.atlan.com/llms/governance/contracts/manage-via-cli/llms.txt): Manage data contracts for assets using the Atlan CLI and Python SDK (pyatlan). Initialize and define data contracts programmatically.

#### [Custom Metadata](https://docs.atlan.com/llms/governance/custom-metadata/llms.txt)

> Learn how to create and manage custom metadata attributes in Atlan to extend your data catalog with organization-specific information.

- [Add options](https://docs.atlan.com/llms/governance/custom-metadata/add-options/llms.txt): :::warning Who can do this? You must be an admin user in Atlan to create options for custom metadata properties.
- [Add custom metadata badges](https://docs.atlan.com/llms/governance/custom-metadata/add-custom-metadata-badges/llms.txt): Bringing visibility to custom metadata and enriching it with additional context are critical requirements for data teams. Atlan enables you to highlight the most critical custom metadata with badges.
- [Manage custom metadata structures](https://docs.atlan.com/llms/governance/custom-metadata/manage-custom-metadata-structures/llms.txt): :::warning Who can do this? You must be an admin user to manage custom metadata structures, including defining new ones.
- [Custom metadata properties](https://docs.atlan.com/llms/governance/custom-metadata/custom-metadata-properties/llms.txt): Complete reference for custom metadata property configuration, including all field types, settings, and asset targeting options.
- [Custom Metadata Extender](https://docs.atlan.com/llms/governance/custom-metadata/custom-metadata-extender/llms.txt): Expand existing custom metadata definitions to include new connections or glossaries added after initial creation. Reference for workflow configuration and scope-extension rules.
- [Sync Lake Formation tags to custom metadata](https://docs.atlan.com/llms/governance/custom-metadata/lake-formation-tag-sync/llms.txt): Sync AWS Lake Formation tags to Atlan custom metadata to maintain governance alignment. Reference for workflow configuration, tag mapping, and input-file format specifications.
- [Priority Propagator](https://docs.atlan.com/llms/governance/custom-metadata/priority-propagator/llms.txt): Propagate tags or custom metadata from child assets to parent assets using configurable priority rules. Reference for workflow configuration, priority-rule syntax, and transformation settings.
- [Custom Metadata](https://docs.atlan.com/llms/governance/custom-metadata/what-is-custom-metadata/llms.txt): Atlan provides basic metadata for assets like certification, owners, and descriptions. But since every data team has their own unique needs, Atlan allows you to extend these with your own unique properties.
- [Update input type for existing custom metadata](https://docs.atlan.com/llms/governance/custom-metadata/change-input-type-custom-metadata/llms.txt): Learn about update input type for existing custom metadata.
- [Custom metadata structures overview](https://docs.atlan.com/llms/governance/custom-metadata/how-tos/llms.txt): Learn about the composition of custom metadata structures in Atlan and how to create them programmatically.
- [Create custom metadata](https://docs.atlan.com/llms/governance/custom-metadata/create-custom-metadata/llms.txt): Define custom metadata structures in Atlan using the Python SDK's builder pattern — group business attributes on any asset type, and note the ~1000 tenant-wide property limit.
- [Retrieve custom metadata](https://docs.atlan.com/llms/governance/custom-metadata/retrieve-custom-metadata/llms.txt): Retrieve custom metadata structures programmatically using the Atlan Python SDK (pyatlan). Use CustomMetadataDef to access metadata definitions and attributes.
- [Update custom metadata](https://docs.atlan.com/llms/governance/custom-metadata/update-custom-metadata/llms.txt): Modify existing custom metadata structures in Atlan using the Python SDK — add or update attribute types, display labels, and validation rules without recreating the full structure.
- [Delete custom metadata](https://docs.atlan.com/llms/governance/custom-metadata/delete-custom-metadata/llms.txt): Remove custom metadata structure definitions from Atlan using the Python SDK — note that deleted structures still count against the ~1000 tenant-wide property limit.
- [Manage custom metadata badges](https://docs.atlan.com/llms/governance/custom-metadata/manage-badges/llms.txt): Create and delete custom metadata badges in Atlan using the Python SDK — surface business attribute values as visual badges on asset cards to improve data trust at a glance.
- [Manage options (enumerations)](https://docs.atlan.com/llms/governance/custom-metadata/manage-enumerations/llms.txt): Create and manage option sets (enumerations) for custom metadata attributes in Atlan using the Python SDK — define valid value sets like data quality dimensions using EnumDef.creator().

#### [Data Quality Studio](https://docs.atlan.com/llms/governance/data-quality/llms.txt)

> Monitor and maintain data quality across your data sources with automated quality checks, alerts, and governance workflows

- [BigQuery Data Quality Studio](https://docs.atlan.com/llms/governance/data-quality/bigquery/llms.txt): Set up and configure BigQuery for data quality monitoring through Atlan.
- [Set up BigQuery](https://docs.atlan.com/llms/governance/data-quality/set-up-bigquery/llms.txt): Configure BigQuery to enable data quality monitoring through Atlan.
- [Enable data quality on connection](https://docs.atlan.com/llms/governance/data-quality/bigquery-how-tos-enable-data-quality/llms.txt): Enable and configure data quality for your BigQuery connection in Atlan.
- [Databricks Data Quality Studio](https://docs.atlan.com/llms/governance/data-quality/databricks/llms.txt): Set up and configure Databricks for data quality monitoring through Atlan.
- [Set up Databricks](https://docs.atlan.com/llms/governance/data-quality/set-up-databricks/llms.txt): Configure Databricks to enable data quality monitoring through Atlan.
- [Enable data quality on connection](https://docs.atlan.com/llms/governance/data-quality/databricks-how-tos-enable-data-quality/llms.txt): Enable and configure data quality for your Databricks connection in Atlan.
- [Snowflake Data Quality Studio](https://docs.atlan.com/llms/governance/data-quality/snowflake/llms.txt): Set up and configure Snowflake for data quality monitoring through Atlan.
- [Set up Snowflake](https://docs.atlan.com/llms/governance/data-quality/set-up-snowflake/llms.txt): Configure Snowflake to enable data quality monitoring through Atlan.
- [Enable data quality on connection](https://docs.atlan.com/llms/governance/data-quality/snowflake-how-tos-enable-data-quality/llms.txt): Enable and configure data quality for your Snowflake connection in Atlan.
- [Upgrade Snowflake Data Quality Studio](https://docs.atlan.com/llms/governance/data-quality/upgrade-snowflake/llms.txt): Upgrade your Snowflake data quality setup to the latest version
- [Enable anomaly detection](https://docs.atlan.com/llms/governance/data-quality/enable-anomaly-detection/llms.txt): Enable ML-based anomaly detection on a Snowflake table to automatically monitor row count and freshness without manual thresholds.
- [Configure alerts](https://docs.atlan.com/llms/governance/data-quality/configure-alerts/llms.txt): Set up real-time notifications for data quality rule failures via Slack, Microsoft Teams, Jira, or ServiceNow.
- [Configure webhooks](https://docs.atlan.com/llms/governance/data-quality/configure-webhooks/llms.txt): Send data quality rule lifecycle and result events to external systems using webhooks.
- [Enable most recent day scanning](https://docs.atlan.com/llms/governance/data-quality/enable-most-recent-day-scanning/llms.txt): Configure data quality rules to scan only the most recent day's data for faster, more efficient monitoring.
- [Query failed rows](https://docs.atlan.com/llms/governance/data-quality/query-failed-rows/llms.txt): View and export the actual data rows that failed data quality rules to investigate and resolve data quality issues.
- [Enable query failed rows](https://docs.atlan.com/llms/governance/data-quality/enable-query-failed-rows/llms.txt): Enable the query failed rows feature in Labs so users can investigate data quality issues by viewing the actual rows that failed DQ rules.
- [Configure connection for failed rows](https://docs.atlan.com/llms/governance/data-quality/configure-connection-for-failed-rows/llms.txt): Configure BYOC credentials and query settings on your BigQuery, Databricks, or Snowflake connection to enable failed rows queries.
- [Use AI-suggested rules](https://docs.atlan.com/llms/governance/data-quality/use-ai-suggested-rules/llms.txt): Let Atlan suggest data quality rules automatically based on your asset's metadata structure, and apply them in a few clicks.
- [Run rules on demand](https://docs.atlan.com/llms/governance/data-quality/run-rules-on-demand/llms.txt): Trigger data quality rules immediately at the table or rule level without waiting for the next scheduled run. Supported for Snowflake and Databricks.
- [What's Data Quality Studio](https://docs.atlan.com/llms/governance/data-quality/data-quality-studio/llms.txt): Understand Atlan's Data Quality Studio and how it enables business and data teams to collaborate on defining, monitoring, and enforcing data quality expectations
- [What's anomaly detection](https://docs.atlan.com/llms/governance/data-quality/anomaly-detection/llms.txt): Understand how Atlan uses Snowflake's native ML-based anomaly detection to automatically monitor row count and freshness without manual thresholds.
- [What's auto reattachment](https://docs.atlan.com/llms/governance/data-quality/auto-re-attachment-rules/llms.txt): Understand automatic reattachment of data quality rules to assets that are dropped and recreated.
- [Most recent day scans](https://docs.atlan.com/llms/governance/data-quality/most-recent-day-scans/llms.txt): Understand how limiting rules to the most recent day of data improves monitoring results in Atlan.
- [Notification routing](https://docs.atlan.com/llms/governance/data-quality/notification-routing/llms.txt): Understand how data quality alerts are routed to different channels based on asset scope and priority settings
- [Compute and cost tracking](https://docs.atlan.com/llms/governance/data-quality/compute-and-cost-tracking/llms.txt): Understand how Data Quality Studio uses compute resources, how costs are calculated, and practical ways to track and optimize spend for Snowflake, Databricks, and BigQuery.
- [Data quality permissions](https://docs.atlan.com/llms/governance/data-quality/data-quality-permissions/llms.txt): Reference for data quality permission scopes and configuration in Atlan.
- [Operations](https://docs.atlan.com/llms/governance/data-quality/operations/llms.txt): Atlan crawls and manages the following data quality operations and results from Snowflake.
- [Rules and dimensions](https://docs.atlan.com/llms/governance/data-quality/data-quality-rules/llms.txt): Reference for available data quality rules and classification dimensions in Snowflake data quality.
- [Run on the most recent day of data](https://docs.atlan.com/llms/governance/data-quality/run-on-most-recent-day/llms.txt): Reference for restricting data quality rules to only the most recent day's data.
- [Rule types and failed rows validations](https://docs.atlan.com/llms/governance/data-quality/rule-types-and-failed-rows/llms.txt): Reference of Data Quality Studio rule types, restrictions, and how failed rows validation works
- [Anomaly detection results](https://docs.atlan.com/llms/governance/data-quality/anomaly-detection-results/llms.txt): Reference for anomaly detection result fields, status values, and how results flow from Snowflake to Atlan.
- [Data Quality Studio setup reference (Snowflake)](https://docs.atlan.com/llms/governance/data-quality/dq-studio-snowflake-setup/llms.txt): The Snowflake-side setup facts for Data Quality Studio—roles, grants, the ATLAN_DQ database, warehouse scope, scheduling constraints, execution model, and connector coverage status.
- [Webhook payload](https://docs.atlan.com/llms/governance/data-quality/webhook-payload-reference/llms.txt): Event types, payload structure, and field definitions for data quality webhook events.
- [Failed rows connection](https://docs.atlan.com/llms/governance/data-quality/troubleshooting-failed-rows-connection/llms.txt): Troubleshoot issues with configuring connections for failed rows queries, including connection status, query button visibility, and query execution failures.
- [Snowflake rules on views with non-deterministic functions](https://docs.atlan.com/llms/governance/data-quality/troubleshooting-snowflake-non-deterministic-views/llms.txt): Troubleshoot Snowflake data quality rule creation failures caused by non-deterministic functions inside view definitions, with recommended workarounds.
- [Failed rows](https://docs.atlan.com/llms/governance/data-quality/failed-rows-faq/llms.txt): Frequently asked questions about querying failed rows, including nudge banner behavior and configuration requirements.
- [Roles and permissions](https://docs.atlan.com/llms/governance/data-quality/roles-and-permissions/llms.txt): Explanation of Snowflake's security model and role requirements for data quality operations.
- [Setup and configuration](https://docs.atlan.com/llms/governance/data-quality/setup-and-configuration/llms.txt): Common questions about Databricks data quality setup and configuration.
- [Manage data quality rules](https://docs.atlan.com/llms/governance/data-quality/manage-dq-rules/llms.txt): Create, update, retrieve, and delete data quality rules programmatically using the Atlan Python SDK (pyatlan). Use DataQualityRule to manage DQ rules and monitors via the SDK.
- [Plan and run data quality monitoring](https://docs.atlan.com/llms/governance/data-quality/plan-and-run-data-quality/llms.txt): How to scope data quality to the assets that matter, choose and sequence rules, route alerts without creating noise, and position monitoring against pipeline tests.

#### [Domains](https://docs.atlan.com/llms/governance/domains/llms.txt)

> Learn how to organize and manage domains in Atlan to structure your data assets in a logical and business-aligned way.

- [Manage domains](https://docs.atlan.com/llms/governance/domains/manage-domains/llms.txt): Most importantly, domains help promote shared ownership and domain-level governance in your organization.
- [Organize assets](https://docs.atlan.com/llms/governance/domains/organize-assets/llms.txt): Organize assets into domains and subdomains to establish logical structures aligned with business needs. Setup requires edit access to asset metadata for non-guest users.
- [Data mesh overview](https://docs.atlan.com/llms/governance/domains/how-tos/llms.txt): Overview of managing data mesh in the Atlan Python SDK (pyatlan). Create and manage data domains and products programmatically.
- [Managing data domains](https://docs.atlan.com/llms/governance/domains/manage-data-domains/llms.txt): Create, update, and delete data domains in Atlan using the Python SDK (pyatlan) — use DataDomain.creator() to define domains with icons, colors, and hierarchies.
- [Managing data products](https://docs.atlan.com/llms/governance/domains/manage-data-products/llms.txt): Create and manage data products in Atlan using the Python SDK (pyatlan) — use DataProduct to define asset collections and output ports.

#### [Knowledge Folders](https://docs.atlan.com/llms/governance/knowledge-folders/llms.txt)

> Build a golden dataset of unstructured business content in Atlan—SOPs, policies, and compliance rules—as governed, discoverable assets that context agents use for enrichment and skill generation

- [Create knowledge folder](https://docs.atlan.com/llms/governance/knowledge-folders/create-knowledge-folder/llms.txt): Create knowledge folders to organize unstructured documents and enable context agents to extract terms, relationships, and insights from your documentation.
- [Knowledge folders and files](https://docs.atlan.com/llms/governance/knowledge-folders/knowledge-folders-and-files/llms.txt): Understand knowledge folders and knowledge files as catalog asset types in Atlan.
- [Extraction pipeline](https://docs.atlan.com/llms/governance/knowledge-folders/extraction-pipeline/llms.txt): Understand how context agents process knowledge files to extract business rules, create glossary terms, and generate skill files
- [Working with Knowledge folders](https://docs.atlan.com/llms/governance/knowledge-folders/knowledge-folders-faq/llms.txt): Answers to common questions about knowledge folders and files in Atlan.

#### [Stewardship](https://docs.atlan.com/llms/governance/stewardship/llms.txt)

> Learn how to implement data stewardship in Atlan through automated workflows, policies, and task management.

- [Automate data governance](https://docs.atlan.com/llms/governance/stewardship/automate-data-governance/llms.txt): You can streamline your data governance requirements in Atlan with governance workflows and manage alerts, approvals, and tasks using the inbox. Governance workflows enable you to set up robust controls on data access management, metadata enrichment, new entity creation, and more, with out-of-the-box workflow templates and automated execution.
- [Create governance workflows](https://docs.atlan.com/llms/governance/stewardship/create-governance-workflows/llms.txt): Atlan runs governance as no-code workflows—templated, multi-step approvals that route metadata changes to the right owners.
- [Manage governance workflows](https://docs.atlan.com/llms/governance/stewardship/manage-governance-workflows/llms.txt): Once you have created governance workflows, you can manage and modify your workflows and monitor requests from the _Governance workflows_ dashboard.
- [Manage tasks](https://docs.atlan.com/llms/governance/stewardship/manage-tasks/llms.txt): :::warning Who can do this? Anyone with access to Atlan - admin, member, or guest user - can use the inbox.
- [Automate policy compliance](https://docs.atlan.com/llms/governance/stewardship/automate-policy-compliance/llms.txt)
- [Create policies](https://docs.atlan.com/llms/governance/stewardship/create-policies/llms.txt)
- [Manage policies](https://docs.atlan.com/llms/governance/stewardship/stewardship-how-tos-manage-policies/llms.txt)
- [Create forms](https://docs.atlan.com/llms/governance/stewardship/create-forms/llms.txt): You can use Atlan's form builder to create reusable forms for managing user requests. The form builder allows you to create and customize forms from one central location. Forms can support multiple input types, including text, dropdown, date, and more.
- [How AI Application Risk Classifier evaluates metadata](https://docs.atlan.com/llms/governance/stewardship/how-metadata-is-classified-as-risk/llms.txt): Understand how the AI Application Risk Classifier evaluates AI Application metadata based on the EU AI Act framework.
- [Configure risk metadata](https://docs.atlan.com/llms/governance/stewardship/risk-metadata/llms.txt): Configuration reference for enriching AI Application assets with risk metadata using the AI Application Risk Classifier.
- [Source owner manager](https://docs.atlan.com/llms/governance/stewardship/source-owner-manager/llms.txt): Automatically populate asset owners in Atlan using source-system metadata like Snowflake last_ddl_by and Tableau source_owner. Reference for workflow configuration and owner-mapping rules.
- [Troubleshooting policies](https://docs.atlan.com/llms/governance/stewardship/troubleshooting-policies/llms.txt): Learn about troubleshooting policies.
- [Access control and personalization](https://docs.atlan.com/llms/governance/stewardship/access-control-how-tos/llms.txt): Manage access control and personalization in Atlan using the Python SDK (pyatlan). Programmatically configure personas, purposes, and access policies.
- [Managing personas](https://docs.atlan.com/llms/governance/stewardship/manage-personas/llms.txt): Create, update, and delete Atlan personas using the Python SDK. Personas define curated asset views for user groups — list all with Persona.select().stream().
- [Managing policies](https://docs.atlan.com/llms/governance/stewardship/access-control-how-tos-manage-policies/llms.txt): Create and manage Atlan access policies using the Python SDK — use AuthPolicy.select() to query by category or resource and link policies to personas or purposes.
- [Managing purposes](https://docs.atlan.com/llms/governance/stewardship/manage-purposes/llms.txt): Create, update, and delete Atlan purposes using the Python SDK. Purposes group assets by business domain or data sensitivity — list all with Purpose.select().
- [Managing API tokens](https://docs.atlan.com/llms/governance/stewardship/manage-api-tokens/llms.txt): Create, rotate, and delete API tokens in Atlan using the Python SDK. Tokens act as independent service principals — not personal access tokens — and the token value is available immediately after creation.
- [Managing OAuth clients](https://docs.atlan.com/llms/governance/stewardship/manage-oauth-clients/llms.txt): Create and manage OAuth 2.0 clients in Atlan using the Python SDK — assign roles and personas to enable machine-to-machine authentication flows.
- [Running SQL queries on an asset](https://docs.atlan.com/llms/governance/stewardship/run-queries/llms.txt): Run SQL queries on assets in Atlan using QueryRequest and the Python SDK (pyatlan). Executes on connected data sources.
- [Retrieve access events](https://docs.atlan.com/llms/governance/stewardship/access-events/llms.txt): Query Keycloak access events in Atlan by date range and event type (LOGIN, LOGOUT, and others) using KeycloakEventRequest and the Python SDK.
- [Users and groups overview](https://docs.atlan.com/llms/governance/stewardship/users-groups-how-tos/llms.txt): Manage users and groups programmatically using the Atlan Python SDK (pyatlan). Create, retrieve, and manage user and group objects.
- [Creating users and groups](https://docs.atlan.com/llms/governance/stewardship/create-users-groups/llms.txt): Create users and groups in Atlan programmatically using the Python SDK (pyatlan) or Java SDK. Use AtlanUser and AtlanGroup to invite users, create groups, and manage group membership via the SDK.
- [Retrieving users and groups](https://docs.atlan.com/llms/governance/stewardship/retrieve-users-groups/llms.txt): Retrieve users and groups in Atlan using AtlanUser and AtlanGroup with the Python SDK (pyatlan). Filter by name, email, or role.
- [Updating users and groups](https://docs.atlan.com/llms/governance/stewardship/update-users-groups/llms.txt): Update user and group properties in Atlan programmatically using the Python SDK (pyatlan) or Java SDK. Use AtlanUser and AtlanGroup to modify display names, roles, and group membership.
- [Deleting users and groups](https://docs.atlan.com/llms/governance/stewardship/delete-users-groups/llms.txt): Delete users and groups in Atlan using AtlanUser and AtlanGroup with the Python SDK (pyatlan).
- [Manage SSO group mapping](https://docs.atlan.com/llms/governance/stewardship/manage-sso-group-mapping/llms.txt): Manage SSO group mapping in Atlan programmatically using the Python SDK (pyatlan). Use AtlanSSO to map identity provider groups to Atlan groups via the SDK.
- [Manage files in Atlan's tenant object store](https://docs.atlan.com/llms/governance/stewardship/files-how-tos/llms.txt): Manage files in Atlan's tenant object store programmatically using the Python SDK (pyatlan) with presigned URLs and FileClient.

#### [Tags](https://docs.atlan.com/llms/governance/tags/llms.txt)

> Learn how to use tags in Atlan to categorize and organize your data assets for improved discoverability and governance.

- [Create a new tag](https://docs.atlan.com/llms/governance/tags/create-a-new-tag/llms.txt): Create tags to classify and organize assets in Atlan. Setup requires admin user permissions, with tags displayed in sentence case in the governance center and asset filters.
- [Delete a tag](https://docs.atlan.com/llms/governance/tags/delete-a-tag/llms.txt): Delete tags in Atlan when no longer needed. Setup requires admin user permissions and removal of the tag from all tagged assets first.
- [Attach a tag](https://docs.atlan.com/llms/governance/tags/attach-a-tag/llms.txt): Atlan lets users add tags to assets. You can use them to identify key characteristics of assets or group them together for usage or data protection.
- [Remove a tag](https://docs.atlan.com/llms/governance/tags/remove-a-tag/llms.txt): Remove tags from assets in Atlan. Identify whether tags were directly added or propagated through tag propagation before removal.
- [What are tags?](https://docs.atlan.com/llms/governance/tags/what-are-tags/llms.txt): Tags in Atlan classify data assets — use them to identify sensitive data (PII, confidential), group assets by domain, and drive granular access control through purposes.
- [Asset Import for tags](https://docs.atlan.com/llms/governance/tags/asset-import-tags/llms.txt): Bulk import tag definitions into Atlan from a CSV file. Reference for workflow configuration, CSV format, tag properties, and asset-storage options.
- [Atlan tag definitions overview](https://docs.atlan.com/llms/governance/tags/how-tos/llms.txt): Manage tag definitions programmatically using the Atlan Python SDK (pyatlan). Create, organize, and apply tags to assets.
- [Manage Atlan tags](https://docs.atlan.com/llms/governance/tags/manage-tags/llms.txt): Create, update, and delete Atlan tags using the Python SDK — define classification tags for data assets and manage their propagation behavior and attribute configuration.
- [Monitor tag propagation](https://docs.atlan.com/llms/governance/tags/monitor-propagation/llms.txt): Monitor tag propagation in Atlan using the Python SDK — track background propagation tasks in the task queue to verify tags have fully cascaded from parent assets to their descendants.

---

## AI & Agents

→ Full index: [/llms/platform/llms.txt](https://docs.atlan.com/llms/platform/llms.txt) (shared with Extend Atlan)

#### [AI Governance](https://docs.atlan.com/llms/platform/ai-governance/llms.txt)

> Establish robust AI governance frameworks that maintain compliance, mitigate risks, and drive trust through visibility, lifecycle management, and policy enforcement

- [Create AI model](https://docs.atlan.com/llms/platform/ai-governance/create-ai-model/llms.txt): Learn how to create an AI model in Atlan.
- [Create AI app](https://docs.atlan.com/llms/platform/ai-governance/create-ai-app/llms.txt): Learn how to create an AI app in Atlan.

#### [Atlan AI](https://docs.atlan.com/llms/platform/atlan-ai/llms.txt)

> Atlan AI is the intelligence layer of the Enterprise Context Layer. Context Agents enrich your data estate at scale; the Remote MCP server makes that context callable by every AI agent your organization runs.

- [Use Atlan AI for documentation](https://docs.atlan.com/llms/platform/atlan-ai/use-atlan-ai-for-documentation/llms.txt)
- [Use Atlan AI for lineage analysis](https://docs.atlan.com/llms/platform/atlan-ai/use-atlan-ai-for-lineage-analysis/llms.txt)
- [Use Atlan AI for glossary management](https://docs.atlan.com/llms/platform/atlan-ai/use-atlan-ai-for-glossary-management/llms.txt)
- [Atlan AI security](https://docs.atlan.com/llms/platform/atlan-ai/security/llms.txt): Security and compliance information for Atlan AI, including AI architecture, data handling, encryption, model management, and compliance frameworks.
- [Atlan AI](https://docs.atlan.com/llms/platform/atlan-ai/what-is-atlan-ai/llms.txt)

#### [Atlan Context for AI](https://docs.atlan.com/llms/platform/agents/llms.txt)

> Give your AI tools accurate, on-demand access to Atlan documentation—through Atlan docs over MCP for persistent connections or per-page Markdown export for one-time use.

- [Set up docs over MCP](https://docs.atlan.com/llms/platform/agents/set-up-docs-over-mcp/llms.txt): Connect Claude Code, Cursor, ChatGPT, or any MCP-compatible tool to Atlan docs over MCP for on-demand documentation access.
- [How to build context layer](https://docs.atlan.com/llms/platform/agents/build-a-context-layer/llms.txt): Build your first context layer for one domain, one team, and one AI client using Atlan connectors, context agents, and the Atlan MCP server.
- [How to build enterprise context layer](https://docs.atlan.com/llms/platform/agents/build-an-enterprise-context-layer/llms.txt): Build an enterprise context layer for AI agents across multiple domains, governed for compliance, using Atlan Context Studio and the Atlan MCP server.
- [How to set up memory layer for AI agents](https://docs.atlan.com/llms/platform/agents/set-up-a-memory-layer-for-ai-agents/llms.txt): Build long-term memory for AI agents with Atlan context repositories and the Atlan MCP server. Covers prerequisites, MCP wiring, and validation.
- [How to monitor your AI agents with Atlan](https://docs.atlan.com/llms/platform/agents/monitor-your-ai-agents-with-atlan/llms.txt): Add data-side observability to production AI agents with Atlan, covering lineage, access enforcement, and audit logs. Pair with an LLM observability tool.
- [How to write AGENTS.md file](https://docs.atlan.com/llms/platform/agents/write-an-agents-md-file/llms.txt): Write an AGENTS.md file for AI coding agents (Codex, Cursor, Copilot, Aider, Windsurf, Zed). Spec, examples, required and optional sections, and pitfalls.
- [Context layer](https://docs.atlan.com/llms/platform/agents/concepts-context-layer/llms.txt): Atlan provides a context layer, the governed layer that connects AI agents to trusted data.
- [Memory layer for AI agents](https://docs.atlan.com/llms/platform/agents/memory-layer/llms.txt): Understand how a memory layer maps to Atlan's architecture, and how context repositories and the Atlan MCP server compare to vector databases and RAG.
- [AI agent observability](https://docs.atlan.com/llms/platform/agents/ai-agent-observability/llms.txt): Understand why monitoring production AI agents requires two complementary layers, and how Atlan's data-side observability complements LLM observability tools.
- [AGENTS.md](https://docs.atlan.com/llms/platform/agents/concepts-agents-md/llms.txt): Understand what AGENTS.md is, which AI coding agents support it, and why keeping it short produces better agent outcomes than exhaustive files.
- [Docs-over-MCP tools](https://docs.atlan.com/llms/platform/agents/docs-over-mcp-tools/llms.txt): Reference for all seven tools exposed by Atlan docs over MCP: what each tool does, its inputs, and when to use it.
- [Context layer](https://docs.atlan.com/llms/platform/agents/faq-context-layer/llms.txt): Common questions about Atlan's context layer—enterprise rollouts, memory layers, and how Atlan compares to RAG, semantic layers, and vector databases.
- [AI agent monitoring](https://docs.atlan.com/llms/platform/agents/ai-agent-monitoring/llms.txt): Common questions about monitoring AI agents with Atlan, including how it compares to LLM observability tools and what data Atlan can surface.
- [AGENTS.md](https://docs.atlan.com/llms/platform/agents/faq-agents-md/llms.txt): Common questions about the AGENTS.md standard, placement, length, and how it compares to CLAUDE.md.

#### [Context Agents Studio](https://docs.atlan.com/llms/platform/context-agents-studio/llms.txt)

> Automate metadata enrichment at scale using AI-powered context agents that generate descriptions, READMEs, and SQL intelligence across your most important data assets.

- [Understand collections](https://docs.atlan.com/llms/platform/context-agents-studio/collections/llms.txt): Understand the collections available in Context Agents Studio—curated groups of data assets automatically surfaced from usage signals to help you prioritize metadata enrichment.
- [Understand context agents](https://docs.atlan.com/llms/platform/context-agents-studio/agents/llms.txt): Learn about the AI-powered context agents available in Context Agents Studio—specialized agents that generate descriptions, READMEs, and SQL intelligence.
- [Agent design decisions](https://docs.atlan.com/llms/platform/context-agents-studio/agent-design-decisions/llms.txt): Understand the key design decisions behind each context agent—why descriptions are verbose, what READMEs are optimized for, how SQL Intelligence works today, and where it's headed.
- [Enrich metadata on asset collections](https://docs.atlan.com/llms/platform/context-agents-studio/enrich-metadata-on-asset-collection/llms.txt): Step-by-step guide to triggering AI-powered metadata enrichment using context agents in Context Agents Studio.
- [Write effective custom instructions](https://docs.atlan.com/llms/platform/context-agents-studio/write-effective-custom-instructions/llms.txt): Learn how to write custom instructions that help Context Agents Studio generate accurate, business-relevant metadata descriptions for your organization.
- [Understand agent templates](https://docs.atlan.com/llms/platform/context-agents-studio/concepts-agent-templates/llms.txt): Learn how agent templates connect Atlan to your knowledge sources over MCP and turn what's written there into governed context, one outcome per template.
- [Create an agent from a template](https://docs.atlan.com/llms/platform/context-agents-studio/create-an-agent-from-a-template/llms.txt): Step-by-step guide to creating a context agent from a template in Atlan, from picking the template through to your first preview run.
- [Write run instructions for agent](https://docs.atlan.com/llms/platform/context-agents-studio/write-run-instructions/llms.txt): Learn how to write run instructions that tell a context agent template exactly which terms to extract from your documentation.
- [Run and schedule agent](https://docs.atlan.com/llms/platform/context-agents-studio/run-and-schedule-an-agent/llms.txt): Learn how to run a context agent, read its output, change its settings, and put it on a daily, weekly, or monthly schedule.
- [Metadata enrichment](https://docs.atlan.com/llms/platform/context-agents-studio/metadata-enrichment/llms.txt): Answers to common questions about Context Agents Studio—covering enrichment behavior, collections, agent support, processing time, and AI credit usage.
- [FAQ - Agent templates](https://docs.atlan.com/llms/platform/context-agents-studio/faq-agent-templates/llms.txt): Common questions about agent templates in Atlan, covering access, security, cost, run behaviour, and what's currently in the works.
- [Credit usage](https://docs.atlan.com/llms/platform/context-agents-studio/credit-usage/llms.txt): Understand how credits are consumed by context agents in Context Agents Studio and how to track usage in the Reporting section.
- [Enrich metadata at scale and feed context to AI](https://docs.atlan.com/llms/platform/context-agents-studio/enrich-metadata-at-scale/llms.txt): How to scope which assets to enrich, choose the right bulk mechanism, sequence enrichment so it grounds AI reliably, and answer the overwrite, quality, and security questions.

#### [Conversational AI](https://docs.atlan.com/llms/platform/conversational-ai/llms.txt)

> A chat interface built into Atlan that lets you explore data, trace lineage, and look up business terms using everyday language.

- [Custom instructions for conversational AI](https://docs.atlan.com/llms/platform/conversational-ai/concepts-custom-instructions-conversational-ai/llms.txt): How custom instructions shape conversational AI answers organization-wide—what they can and can't do, patterns that work, anti-patterns to avoid, and how they compare to skills, memory, and personas.
- [Set up conversational AI](https://docs.atlan.com/llms/platform/conversational-ai/setup-conversational-ai/llms.txt): Learn how to enable and configure Atlan's conversational AI experience for your organization.
- [Customize conversational AI](https://docs.atlan.com/llms/platform/conversational-ai/customize-conversational-ai/llms.txt): Write custom instructions to shape how conversational AI answers questions across your organization—set vocabulary, preferred asset types, and response language.
- [Conversational AI features](https://docs.atlan.com/llms/platform/conversational-ai/conversational-ai-capabilities/llms.txt): A reference for everything you can do inside a conversational AI session—interacting with responses, response actions, managing history, and configuration.
- [Artifacts in conversational AI](https://docs.atlan.com/llms/platform/conversational-ai/artifacts-in-conversational-ai/llms.txt): How conversational AI creates artifacts such as reports, documents, images, and skills that you can preview in a side panel, revise with AI, and download.
- [Memory in conversational AI](https://docs.atlan.com/llms/platform/conversational-ai/memory-in-conversational-ai/llms.txt): How conversational AI remembers assets and context across sessions to give more relevant answers, and how that data is handled.
- [Example prompts](https://docs.atlan.com/llms/platform/conversational-ai/use-conversational-ai/llms.txt): Example prompts for exploring data, tracing lineage, generating SQL, and managing your catalog with conversational AI in Atlan.
- [Use conversational AI in your tools](https://docs.atlan.com/llms/platform/conversational-ai/access-conversational-ai/llms.txt): Where and how to use conversational AI—inside Atlan, in Copilot, in your data tools, in Slack, and in Microsoft Teams.
- [Custom instruction issues](https://docs.atlan.com/llms/platform/conversational-ai/troubleshooting-custom-instructions-conversational-ai/llms.txt): Troubleshoot ignored instructions, degraded answers, replies without searching, and behavior differences across surfaces in conversational AI.

#### [MCP Server](https://docs.atlan.com/llms/platform/atlan-mcp-overview/llms.txt)

> Atlan MCP is a hosted server that lets AI clients (Claude, Cursor, ChatGPT, Gemini, Copilot) and automation platforms (Python, n8n, LangChain) use Atlan as a context layer through the Model Context Protocol.

- [Set up Atlan MCP](https://docs.atlan.com/llms/platform/atlan-mcp-overview/remote-mcp-overview/llms.txt): Connect Claude, Cursor, ChatGPT, VS Code, Copilot, Gemini, Snowflake, Databricks, and other AI clients to the Atlan MCP server. One page, pick your client, get step-by-step setup.
- [Improve Atlan MCP search quality](https://docs.atlan.com/llms/platform/atlan-mcp-overview/mcp-search-quality/llms.txt): Enrich your catalog metadata so Atlan MCP returns more relevant results. Learn how MCP ranks results, which trust signals to prioritize, and how to enrich your catalog at scale.
- [What you can do with Atlan MCP](https://docs.atlan.com/llms/platform/atlan-mcp-overview/overview/llms.txt): Atlan MCP use cases across chat-based AI tools (Claude, Cursor, ChatGPT, Gemini), automation platforms (Python, n8n, LangChain), and end-to-end workflows for metadata enrichment, governance, data engineering, asset lifecycle, and catalog adoption.
- [Chat with your catalog](https://docs.atlan.com/llms/platform/atlan-mcp-overview/chat-based-mcp-use-cases/llms.txt): Prompt reference for Atlan MCP—discover what you can do with Claude, Cursor, Copilot, ChatGPT, and other AI tools, from lineage traversal to metadata updates, data quality, and glossary management.
- [Automate metadata operations](https://docs.atlan.com/llms/platform/atlan-mcp-overview/agent-automation-use-cases/llms.txt): Patterns and examples for automating Atlan metadata operations using custom Python agents, LangChain pipelines, and n8n workflows.
- [Enrich your metadata](https://docs.atlan.com/llms/platform/atlan-mcp-overview/metadata-enrichment/llms.txt): Enrich tables, dashboards, and glossary terms with descriptions, owners, and tags using Atlan MCP — directly from Claude, Cursor, or any connected AI client.
- [Govern catalog quality](https://docs.atlan.com/llms/platform/atlan-mcp-overview/governance-quality/llms.txt): Keep metadata current, enrich quality alerts with lineage context, propagate PII tags through lineage, and score assets for AI readiness using Atlan MCP.
- [Build with lineage context](https://docs.atlan.com/llms/platform/atlan-mcp-overview/data-engineering/llms.txt): Analyze SQL impact before merging, document pipelines with catalog context, trace dashboard root causes, and register lineage for custom workflows using Atlan MCP.
- [Manage asset lifecycle](https://docs.atlan.com/llms/platform/atlan-mcp-overview/lifecycle-management/llms.txt): Safely deprecate unused assets and triage schemas for migration with full downstream impact awareness using Atlan MCP.
- [Drive catalog adoption](https://docs.atlan.com/llms/platform/atlan-mcp-overview/engagement-adoption/llms.txt): Let analysts find data using plain language, gamify metadata contributions, and route business data requests to the right certified assets using Atlan MCP.
- [Atlan MCP tools](https://docs.atlan.com/llms/platform/atlan-mcp-overview/mcp-tools/llms.txt): Reference for every tool available in the Atlan MCP server—search, lineage, metadata, governance, glossary, data quality, knowledge, and more. Filter by category or access level.
- [Troubleshoot ChatGPT with Atlan](https://docs.atlan.com/llms/platform/atlan-mcp-overview/chatgpt-remote-mcp/llms.txt): Resolve common ChatGPT issues with the Atlan app, including empty query results, OAuth permission loops, and authentication failures when connecting ChatGPT to Atlan.
- [Claude Desktop Remote MCP Connection Issues](https://docs.atlan.com/llms/platform/atlan-mcp-overview/claude-desktop-remote-mcp/llms.txt): Resolve common Claude Desktop Remote MCP errors — localhost OAuth callback failures and log file locations.
- [VS Code Remote MCP Connection Issues](https://docs.atlan.com/llms/platform/atlan-mcp-overview/vscode-remote-mcp/llms.txt): Resolve common VS Code Remote MCP errors — API key authentication failures, OAuth sign-in issues, and Atlan extension registration problems.
- [Claude Code Remote MCP Connection Issues](https://docs.atlan.com/llms/platform/atlan-mcp-overview/claude-code-remote-mcp/llms.txt): Resolve common Claude Code Remote MCP errors — npx not recognized on Windows and Atlan MCP stopping after OAuth token expiry.
- [Snowflake Cortex Code Remote MCP Connection Issues](https://docs.atlan.com/llms/platform/atlan-mcp-overview/snowflake-cortex-remote-mcp/llms.txt): Resolve common Snowflake Cortex Code Remote MCP errors—the Atlan server not appearing, expired OAuth tokens, and OAuth callback failures.
- [Atlan MCP security](https://docs.atlan.com/llms/platform/atlan-mcp-overview/mcp-security/llms.txt): How the Atlan MCP server handles authentication, authorization, data handling, tool controls, logging, and network security—with no shared state between tenants and no data sent to LLMs.

---

## Administer

→ Full index: [/llms/governance/llms.txt](https://docs.atlan.com/llms/governance/llms.txt) (shared with Govern context)

#### [Access Control](https://docs.atlan.com/llms/governance/access-control/llms.txt)

> Access Control in Atlan covers identity and access management (SSO, SCIM, users, groups, roles), permissions (personas, purposes, connection access, visibility), and audit logs. Configure who can sign in, what they can see, and how their activity is tracked.

- [Identity & access management](https://docs.atlan.com/llms/governance/access-control/identity-and-access-management/llms.txt): How to get people into your Atlan workspace and give them the right baseline access. A small team can be managed by hand; a larger organization connects an identity provider for SSO and SCIM. Covers authentication, users, groups, and roles.
- [Set up authentication](https://docs.atlan.com/llms/governance/access-control/authentication-and-authorization/llms.txt): Set up authentication for Atlan: configure SSO with Okta, Azure AD, Google, JumpCloud, OneLogin, SAML 2.0, or PingFederate; automate the user lifecycle with SCIM; and set sign-in rules for new users.
- [Set up single sign-on (SSO)](https://docs.atlan.com/llms/governance/access-control/sso/llms.txt): Set up single sign-on (SSO) so your team signs in to Atlan with their existing identity provider credentials. Configure SAML 2.0 with Okta, Azure AD, Google, JumpCloud, OneLogin, PingFederate, or any custom SAML provider.
- [Enable Okta for SSO](https://docs.atlan.com/llms/governance/access-control/enable-okta-for-sso/llms.txt): Configure SAML 2.0 single sign-on between Okta and Atlan so your users sign in to Atlan with their Okta credentials. Exchange service provider and identity provider metadata, assign users in Okta, and optionally sync Okta groups to Atlan.
- [Enable Azure AD for SSO](https://docs.atlan.com/llms/governance/access-control/enable-azure-ad-for-sso/llms.txt): Configure SAML 2.0 single sign-on between Microsoft Entra ID (Azure AD) and Atlan so your users sign in to Atlan with their existing Microsoft credentials. Exchange service provider and identity provider metadata, assign users in Entra, and optionally sync Azure AD groups to Atlan.
- [Enable Google for SSO](https://docs.atlan.com/llms/governance/access-control/enable-google-for-sso/llms.txt): Configure SAML 2.0 single sign-on between Google Workspace and Atlan so your users sign in to Atlan with their Google credentials. Exchange service provider and identity provider metadata, assign users in Google Admin Center, and optionally sync Google groups to Atlan.
- [Enable JumpCloud for SSO](https://docs.atlan.com/llms/governance/access-control/enable-jumpcloud-for-sso/llms.txt): Configure SAML 2.0 single sign-on between JumpCloud and Atlan so your users sign in to Atlan with their JumpCloud credentials. Exchange service provider and identity provider metadata, assign user groups in JumpCloud, and optionally sync JumpCloud groups to Atlan.
- [Enable OneLogin for SSO](https://docs.atlan.com/llms/governance/access-control/enable-onelogin-for-sso/llms.txt): Configure SAML 2.0 single sign-on between OneLogin and Atlan so your users sign in to Atlan with their OneLogin credentials. Exchange service provider and identity provider metadata, assign users in OneLogin, and optionally sync OneLogin groups to Atlan.
- [Enable SAML 2.0 for SSO](https://docs.atlan.com/llms/governance/access-control/enable-saml-2-0-for-sso/llms.txt): Configure SAML 2.0 single sign-on between any SAML-compatible identity provider and Atlan so your users sign in with their existing IdP credentials. Exchange service provider and identity provider metadata, then optionally sync IdP groups to Atlan.
- [SSO integration with PingFederate using SAML](https://docs.atlan.com/llms/governance/access-control/integration-with-pingfederate-using-saml/llms.txt): Configure SAML 2.0 single sign-on between PingFederate and Atlan so your users sign in to Atlan with their PingFederate credentials. Copy Atlan's service provider metadata into PingFederate, configure both ACS endpoints, and import PingFederate's IdP metadata back into Atlan.
- [SSO integration with PingFederate using OAuth](https://docs.atlan.com/llms/governance/access-control/integration-with-pingfederate-using-oauth/llms.txt): Reference for the parameters and field mappings when PingFederate is the OAuth identity provider for Snowflake query authentication.
- [Enable Okta for SCIM provisioning](https://docs.atlan.com/llms/governance/access-control/enable-okta-for-scim-provisioning/llms.txt): Automate Okta user and group lifecycle in Atlan with SCIM 2.0. Provision new users, keep attributes in sync, deactivate leavers, and optionally push groups from Okta to Atlan.
- [Enable Azure AD for SCIM provisioning](https://docs.atlan.com/llms/governance/access-control/enable-azure-ad-for-scim-provisioning/llms.txt): Automate user and group lifecycle in Atlan by connecting Microsoft Entra ID over SCIM 2.0: generate a SCIM token in Atlan, configure automatic provisioning in Entra, verify attribute mappings, and start syncing.
- [Set default user roles for SSO](https://docs.atlan.com/llms/governance/access-control/set-default-user-roles-for-sso/llms.txt): Set the role Atlan assigns to new users on their first SSO sign-in. Use Member for most workspaces, Guest for read-only users, or Admin for elevated access.
- [Restrict auto user creation for SSO](https://docs.atlan.com/llms/governance/access-control/limit-sso-automatically-creating-users-when-they-log-in/llms.txt): Prevent Atlan from auto-provisioning an account for every user who can authenticate against your identity provider. Restrict access to only the users and groups your IdP explicitly assigns to the Atlan application.
- [Configure session timeouts](https://docs.atlan.com/llms/governance/access-control/manage-user-authentication/llms.txt): Set how long an Atlan session stays valid before it expires. Configure idle timeout, max timeout, and Remember Me settings for all users in the workspace.
- [Authenticate with SSO to query data and view samples](https://docs.atlan.com/llms/governance/access-control/authenticate-sso-credentials-to-query-data/llms.txt): Sign in with your own SSO credentials to query data in Insights and preview sample data on asset profiles. Supported for Snowflake, Databricks, Amazon Redshift, and Google BigQuery.
- [add-and-manage-users](https://docs.atlan.com/llms/governance/access-control/add-and-manage-users/llms.txt)
- [Invite new users](https://docs.atlan.com/llms/governance/access-control/invite-new-users/llms.txt): Invite new users to your Atlan workspace by email when SSO is not enforced, or provision them through your identity provider when SSO is enforced.
- [Assign admin sub-roles](https://docs.atlan.com/llms/governance/access-control/delegate-administration/llms.txt): Sub-roles in Atlan let you delegate specific admin tasks to Members without giving them full Admin access. Governance Admin manages personas and policies; Workflow Admin manages workflows and apps.
- [Role assignment options for SSO users](https://docs.atlan.com/llms/governance/access-control/automatically-assign-roles/llms.txt): Options for assigning Atlan roles to users who sign in through SSO—default role at provisioning and group-based role assignment.
- [Import user roles](https://docs.atlan.com/llms/governance/access-control/user-role-import/llms.txt): Reference for the User Role Import app in Atlan: workflow configuration fields, supported input methods (direct upload or object storage), and the required CSV format for bulk role assignment.
- [Automatically offboard users](https://docs.atlan.com/llms/governance/access-control/user-offboarding/llms.txt): Automatically downgrade users to the Guest role when they leave, using the offboarding app. Set up a workflow that revokes access based on group membership, with no manual edits per user.
- [What are groups?](https://docs.atlan.com/llms/governance/access-control/what-are-groups/llms.txt): Groups in Atlan bundle users together so you can assign personas, purposes, and roles to a whole team at once instead of editing individuals one by one.
- [Organize teams in groups](https://docs.atlan.com/llms/governance/access-control/manage-groups/llms.txt): Create groups in Atlan, add or remove users, and delete groups you no longer need to manage team access at scale.
- [Sync groups from your identity provider](https://docs.atlan.com/llms/governance/access-control/automatically-assign-groups/llms.txt): Map identity provider groups to Atlan groups so each user's group membership updates automatically on every sign-in, without manual edits in Atlan.
- [Provision groups by user designation](https://docs.atlan.com/llms/governance/access-control/auto-assign-groups-by-designation/llms.txt): Use the Designation-based group provisioning app to automatically place each new user into the right Atlan groups at first login, based on their designation.
- [Assign roles by group name](https://docs.atlan.com/llms/governance/access-control/assign-roles-based-on-group-names/llms.txt): Use the User Role Sync app to automatically assign Atlan roles based on group membership, with regex matching and role hierarchy controls.
- [Permissions & data access](https://docs.atlan.com/llms/governance/access-control/permissions-and-data-access/llms.txt): Control what users can see and do in Atlan once they have signed in. Scope access by team with personas, by data sensitivity with purposes, by connection, or hide assets entirely. Learn which control to use and how role, persona, and purpose combine.
- [Personas](https://docs.atlan.com/llms/governance/access-control/what-are-personas/llms.txt): Personas in Atlan scope what a team sees and can do by bundling users and groups with access policies and a custom catalog view.
- [Set up team access (persona)](https://docs.atlan.com/llms/governance/access-control/create-a-persona/llms.txt): Create a persona in Atlan to scope what a team sees and can do: define access policies, add members, and set the UI experience for a team or function.
- [Add team members](https://docs.atlan.com/llms/governance/access-control/assign-users-and-groups-to-a-persona/llms.txt): Add or remove users and groups from a persona in Atlan to control who inherits its access policies and view.
- [Customize catalog view](https://docs.atlan.com/llms/governance/access-control/configure-persona-preferences/llms.txt): Customize the catalog view a team gets in Atlan: set the default landing page, which asset types, sidebar tabs, and discovery filters appear, and what custom metadata is visible, per persona.
- [View as user](https://docs.atlan.com/llms/governance/access-control/view-as-a-user/llms.txt): Impersonate any non-admin user in Atlan to validate personas, Labs toggles, and access controls from their point of view, and to troubleshoot access issues they report.
- [Copy policy to another team](https://docs.atlan.com/llms/governance/access-control/copy-a-policy-to-another-persona/llms.txt): Copy a policy from one persona to another in Atlan to reuse access configurations without rebuilding them from scratch.
- [Purposes](https://docs.atlan.com/llms/governance/access-control/what-are-purposes/llms.txt): Purposes in Atlan scope access by asset tag so every asset marked as PII, confidential, or any sensitivity label gets the same policies applied automatically.
- [Protect data by tag (purpose)](https://docs.atlan.com/llms/governance/access-control/create-a-purpose/llms.txt): Create a purpose in Atlan to scope access by asset tag. Pick one or more tags, attach policies, and protect every asset that carries those tags now and in the future.
- [Choose what to protect](https://docs.atlan.com/llms/governance/access-control/assign-tags-to-a-purpose/llms.txt): Add or remove tags from a purpose in Atlan to change which assets fall within its scope and are covered by its policies.
- [Create policies for multiple assets](https://docs.atlan.com/llms/governance/access-control/create-policies-with-metadata-policy-helper/llms.txt): Create or update metadata policies that target multiple assets at once, using advanced selection patterns such as every dashboard in a Looker folder, every project in Tableau, or every asset across selected connections. Uses the Metadata Policy Helper app.
- [Copy policy to another purpose](https://docs.atlan.com/llms/governance/access-control/copy-a-policy-to-another-purpose/llms.txt): Copy a policy from one purpose to another in Atlan to reuse access configurations without rebuilding them from scratch.
- [Revoke data access](https://docs.atlan.com/llms/governance/access-control/revoke-data-access/llms.txt): Revoke a user's query and preview access on a specific governed asset in Atlan, and optionally raise a Jira or ServiceNow ticket to revoke that user's access at the source.
- [Block data access](https://docs.atlan.com/llms/governance/access-control/disable-data-access/llms.txt): Block users from querying or previewing data in Atlan at different levels: workspace-wide, by connection, by specific asset, or by tag.
- [Manage connection admins](https://docs.atlan.com/llms/governance/access-control/manage-connector-access/llms.txt): Control who can administer a connection in Atlan by assigning or removing connection admins. Connection admins can edit, delete, and fully manage all assets under a connection.
- [Query without shared credentials](https://docs.atlan.com/llms/governance/access-control/query-without-shared-credentials/llms.txt): Enable bring-your-own-credentials (BYOC) on a connection in Atlan so each user queries with their own data source login, and Snowflake, Redshift, Databricks, or other source permissions are enforced on every query instead of one shared account.
- [Provide credentials to query data](https://docs.atlan.com/llms/governance/access-control/provide-credentials-to-query-data/llms.txt): Enter your own username and password or key pair for a connection in Atlan when bring-your-own-credentials (BYOC) is enabled, so Atlan queries and previews data with your own data source permissions instead of a shared account.
- [Metadata Policy](https://docs.atlan.com/llms/governance/access-control/metadata-policy/llms.txt): Configure metadata access in personas: control who can view, edit, or restrict metadata, tags, terms, and governance properties.
- [Metadata Policy](https://docs.atlan.com/llms/governance/access-control/metadata-policy/llms.txt): Configure metadata access in personas: control who can view, edit, or restrict metadata, tags, terms, and governance properties.
- [Data Policy](https://docs.atlan.com/llms/governance/access-control/data-policy/llms.txt): Configure data access in personas and purposes: control who can query and preview data, and apply column-level masking such as hashing, redaction, or showing only the last four characters.
- [Business Graph Policy](https://docs.atlan.com/llms/governance/access-control/business-graph-policy/llms.txt): Configure glossary access in personas: control who can create, update, and delete terms and categories, link terms to assets, and manage tags and custom metadata within a glossary.
- [AI Policy](https://docs.atlan.com/llms/governance/access-control/ai-policy/llms.txt): Configure AI asset access in personas: control who can view, edit, or manage AI models, model versions, applications, and governance properties.
- [Domain Policy](https://docs.atlan.com/llms/governance/access-control/domain-policy/llms.txt): Configure domain access in personas: control who can read, update, and manage data domains, subdomains, and products, including their custom metadata.
- [Understanding lock icons](https://docs.atlan.com/llms/governance/access-control/what-happens-when-users-do-not-have-access-to-metadata/llms.txt): The lock icon in Atlan indicates when users have limited access to an asset. This page explains what the icon means and how roles, connection admins, and access policies affect it.
- [Access control settings](https://docs.atlan.com/llms/governance/access-control/access-control-settings/llms.txt): Reference for all Labs Access control toggles in Atlan Settings, covering guest requests, member reporting, asset visibility, persona switcher, sample data download, Tableau embedding, and workflow admin access.
- [View event logs](https://docs.atlan.com/llms/governance/access-control/view-event-logs/llms.txt): View and filter events received from connectors in Atlan to track lineage and observability data. Event logs are stored for 7 days.
- [View event logs](https://docs.atlan.com/llms/governance/access-control/view-event-logs/llms.txt): View and filter events received from connectors in Atlan to track lineage and observability data. Event logs are stored for 7 days.
- [View query logs](https://docs.atlan.com/llms/governance/access-control/view-query-logs/llms.txt): Track all queries run in Atlan from the query editor, API, and sample data previews. Includes run status, user, connection, and timing. Query logs are retained for the lifetime of your Atlan instance.
- [Troubleshooting SSO sign-in](https://docs.atlan.com/llms/governance/access-control/troubleshooting-sso/llms.txt): Fix common SSO sign-in problems in Atlan, including first-time login errors, username mismatches, provider-specific issues, and group sync behavior.
- [Troubleshooting SSO sign-in](https://docs.atlan.com/llms/governance/access-control/troubleshooting-sso/llms.txt): Fix common SSO sign-in problems in Atlan, including first-time login errors, username mismatches, provider-specific issues, and group sync behavior.
- [Troubleshooting PingFederate OAuth](https://docs.atlan.com/llms/governance/access-control/troubleshooting-pingfederate-oauth/llms.txt): Troubleshoot PingFederate OAuth errors when querying Snowflake from Atlan Data Exploration, with error, cause, and solution guidance.
- [Troubleshooting SCIM provisioning](https://docs.atlan.com/llms/governance/access-control/troubleshooting-scim-provisioning/llms.txt): Troubleshoot common SCIM provisioning issues in Atlan, including missing group members, username conflicts, token expiry, and identity provider sync behavior.
- [Troubleshooting IdP group sync](https://docs.atlan.com/llms/governance/access-control/troubleshooting-group-sync/llms.txt): Fix the most common IdP group sync problems in Atlan, including groups not syncing, wrong members, and stale memberships after an IdP change.
- [SSO frequently asked questions](https://docs.atlan.com/llms/governance/access-control/multiple-azure-ad-tenants/llms.txt): Answers to common questions about Atlan SSO integration, Azure AD setup, user provisioning, invite emails, and data processing.
- [SSO frequently asked questions](https://docs.atlan.com/llms/governance/access-control/multiple-azure-ad-tenants/llms.txt): Answers to common questions about Atlan SSO integration, Azure AD setup, user provisioning, invite emails, and data processing.
- [Design access, personas, and governance in Atlan](https://docs.atlan.com/llms/governance/access-control/design-access-and-personas/llms.txt): How to pick the simplest access-control mechanism, sequence a persona rollout, map SSO groups, and govern sensitive data without over-engineering.

#### [Data Models](https://docs.atlan.com/llms/governance/data-models/llms.txt)

> Create and manage data models to structure and organize your data assets.

- [view data models](https://docs.atlan.com/llms/governance/data-models/view-data-models/llms.txt): Once you have ingested your ER model assets in Atlan, you can:.
- [Ingest Data Models](https://docs.atlan.com/llms/governance/data-models/how-tos-data-model-ingestion/llms.txt): Use the Data Model Ingestion app to load logical and relational metadata from an Excel file into Atlan. Setup requires the Data Model Ingestion app access and a properly formatted Excel input file.
- [Data Models](https://docs.atlan.com/llms/governance/data-models/what-are-data-models/llms.txt): Data models provide a framework to describe how data is structured, organized, and related within a system. It acts as a blueprint for organizations to design their business applications and processes. Data models can be of different types: relational, hierarchical, entity relationship, and network.
- [Data Model Ingestion](https://docs.atlan.com/llms/governance/data-models/references-data-model-ingestion/llms.txt): Reference guide for ingesting data models into Atlan
- [Troubleshooting data models](https://docs.atlan.com/llms/governance/data-models/troubleshooting-data-models/llms.txt): What are the known limitations of data models in Atlan?

#### [Integrations](https://docs.atlan.com/llms/governance/integrations/llms.txt)

> Learn how to integrate Atlan with project management, communication, collaboration, automation, and identity management tools.

- [Automation integrations](https://docs.atlan.com/llms/governance/integrations/automation/llms.txt): Integrate Atlan with automation tools like AWS Lambda, Connections, Webhooks, Browser Extension, and Always On to automate workflows and extend Atlan's capabilities.
- [Always On](https://docs.atlan.com/llms/governance/integrations/always-on/llms.txt): Integrate Atlan with Always On to enable continuous automation and suggestions.
- [Suggestions from similar assets](https://docs.atlan.com/llms/governance/integrations/suggestions-from-similar-assets/llms.txt): Learn about suggestions from similar assets.
- [Tag propagation](https://docs.atlan.com/llms/governance/integrations/tag-propagation/llms.txt): Learn about tag propagation.
- [AWS Lambda](https://docs.atlan.com/llms/governance/integrations/aws-lambda/llms.txt): Integrate Atlan with AWS Lambda to automate workflows and triggers.
- [Set up AWS Lambda](https://docs.atlan.com/llms/governance/integrations/set-up-aws-lambda/llms.txt): Learn about set up aws lambda.
- [Create an AWS Lambda trigger](https://docs.atlan.com/llms/governance/integrations/create-an-aws-lambda-trigger/llms.txt): Once you have configured the AWS Lambda permissions, you can run an AWS Lambda function.
- [Browser extension](https://docs.atlan.com/llms/governance/integrations/browser-extension/llms.txt): Use the Atlan browser extension to access metadata directly inside your data tools without leaving your workflow.
- [Install and set up browser extension](https://docs.atlan.com/llms/governance/integrations/install-and-set-up-the-browser-extension/llms.txt): Learn how to install and configure the Atlan browser extension in Chrome or Edge, connect it to your Atlan workspace, and set up custom domains for your data tools.
- [Use Atlan browser extension](https://docs.atlan.com/llms/governance/integrations/use-the-atlan-browser-extension/llms.txt): Learn how to use the Atlan browser extension to access metadata in-flow inside your data tools, search Atlan from any webpage, and link web pages as resources to assets.
- [Deploy extension to your organization](https://docs.atlan.com/llms/governance/integrations/configure-the-extension-for-managed-browsers/llms.txt): Learn how to deploy the Atlan browser extension across your organization using managed browsers and MDM software on macOS and Windows.
- [Enable embedded metadata in Tableau](https://docs.atlan.com/llms/governance/integrations/enable-embedded-metadata-in-tableau/llms.txt): Learn how to enable embedded Atlan metadata in Tableau dashboards for seamless data context and governance.
- [Troubleshooting browser extension](https://docs.atlan.com/llms/governance/integrations/troubleshooting-atlan-browser-extension/llms.txt): Resolve common issues with the Atlan browser extension, including loading errors, blank pages, and missing metadata icons.
- [Security](https://docs.atlan.com/llms/governance/integrations/security/llms.txt): Frequently asked questions about security controls and permissions for the Atlan browser extension.
- [Connections Integration](https://docs.atlan.com/llms/governance/integrations/connections/llms.txt): Integrate Atlan with Connections to create webhooks and automate notifications.
- [Delete a connection](https://docs.atlan.com/llms/governance/integrations/delete-a-connection/llms.txt): Learn about delete a connection.
- [Webhooks Integration](https://docs.atlan.com/llms/governance/integrations/webhooks/llms.txt): Integrate Atlan with Webhooks to automate actions and notifications.
- [Create webhooks](https://docs.atlan.com/llms/governance/integrations/create-webhooks/llms.txt): Learn how to create webhooks in Atlan to receive event notifications to your endpoint and take action in real-time.
- [Collaboration Integrations](https://docs.atlan.com/llms/governance/integrations/collaboration/llms.txt): Integrate Atlan with collaboration tools like Microsoft Teams and Slack.
- [Microsoft Teams](https://docs.atlan.com/llms/governance/integrations/microsoft-teams/llms.txt): Integrate Atlan with Microsoft Teams to enable collaboration and notifications.
- [Integrate Microsoft Teams](https://docs.atlan.com/llms/governance/integrations/integrate-microsoft-teams/llms.txt): Install and configure the Atlan Assistant (Teams marketplace app) and connect your Atlan tenant to Microsoft Teams.
- [Integrate with custom app (legacy)](https://docs.atlan.com/llms/governance/integrations/integrate-microsoft-teams-custom-app/llms.txt): Connect Atlan to Microsoft Teams using the custom app approach. Use this method if you have an existing legacy setup or need specific deployment configurations.
- [Use Atlan in Microsoft Teams](https://docs.atlan.com/llms/governance/integrations/use-atlan-in-microsoft-teams/llms.txt): Learn how to share assets, link conversations, and receive notifications using Atlan in Microsoft Teams.
- [Set up personal Teams notifications](https://docs.atlan.com/llms/governance/integrations/set-up-personal-teams-notifications/llms.txt): Connect your Microsoft Teams account to get direct message alerts for starred assets in Atlan.
- [Troubleshooting Microsoft Teams](https://docs.atlan.com/llms/governance/integrations/troubleshooting-microsoft-teams/llms.txt): Why do I get an error while adding Atlan to Microsoft Teams?
- [What is included in the Microsoft Teams integration?](https://docs.atlan.com/llms/governance/integrations/microsoft-teams-integration/llms.txt): With two of your most important workspaces connected, you can save time and improve the way you share data assets with your team.
- [Marketplace MS Teams Integration FAQ](https://docs.atlan.com/llms/governance/integrations/marketplace-teams-integration/llms.txt): Understand all about the new marketplace Teams flow, including the technical nitty-gritties.
- [What data does Atlan store with the Microsoft Teams integration?](https://docs.atlan.com/llms/governance/integrations/security-and-data-privacy/llms.txt): Learn what data Atlan stores, what it doesn't access, and how the Microsoft Teams integration handles security and privacy.
- [Microsoft Graph API permissions](https://docs.atlan.com/llms/governance/integrations/microsoft-graph-api-permissions/llms.txt): Reference for the Microsoft Graph API delegated permissions the Atlan Teams integration requests, including admin consent requirements and security posture
- [Slack](https://docs.atlan.com/llms/governance/integrations/slack/llms.txt): Integrate Atlan with Slack to enable collaboration and notifications.
- [Integrate Slack](https://docs.atlan.com/llms/governance/integrations/integrate-slack/llms.txt): To integrate Slack and Atlan, follow these steps.
- [Link your Slack account](https://docs.atlan.com/llms/governance/integrations/link-your-slack-account/llms.txt): To see previews of Slack messages inside Atlan, you may need to first link your Slack account. This is done automatically for the user that set up the Slack integration, but not for other users.
- [Troubleshooting Slack](https://docs.atlan.com/llms/governance/integrations/troubleshooting-slack/llms.txt): What do the colors in Slack notifications for modified assets mean?
- [How do I send messages or search assets from Slack?](https://docs.atlan.com/llms/governance/integrations/send-messages-search-assets-slack/llms.txt): Sending messages and searching assets from Slack are disabled. Refer to Troubleshooting Slack to learn more.
- [What does Atlan do with each Slack permission?](https://docs.atlan.com/llms/governance/integrations/slack-permissions/llms.txt): Learn about what does atlan do with each slack permission?.
- [What is included in the Slack integration?](https://docs.atlan.com/llms/governance/integrations/slack-integration/llms.txt): Learn about the features and capabilities of the Slack integration with Atlan.
- [Bulk enrich metadata](https://docs.atlan.com/llms/governance/integrations/bulk-enrich-metadata/llms.txt): Atlan enables you to use spreadsheet tools to collaborate on assets with your team, make bulk metadata updates, and sync changes back to Atlan.
- [Configure custom domains for Microsoft Excel](https://docs.atlan.com/llms/governance/integrations/configure-custom-domains-for-microsoft-excel/llms.txt): If your Atlan tenant is hosted on a custom domain - for example, `https://<your-tenant-name>.mycompany.com` - you will need to configure your Atlan tenant to deploy the Atlan add-in for Microsoft Excel.
- [Download impacted assets in Google Sheets](https://docs.atlan.com/llms/governance/integrations/download-impacted-assets-in-google-sheets/llms.txt): Once you've connected Atlan with Google Sheets, you can download impacted assets in Google Sheets. This can help you assess the downstream impact of any changes made to an upstream asset for impact analysis.
- [Download impacted assets in Microsoft Excel](https://docs.atlan.com/llms/governance/integrations/download-impacted-assets-in-microsoft-excel/llms.txt): Once you've connected Atlan with Microsoft Excel, you can download impacted assets in Microsoft Excel. This can help you assess the downstream impact of any changes made to an upstream asset for impact analysis.
- [Export Assets](https://docs.atlan.com/llms/governance/integrations/export-assets/llms.txt): :::warning Who can do this? Before you can export assets to spreadsheets, you will first need your Atlan admin to enable asset export.
- [Integrate Atlan with Google Sheets](https://docs.atlan.com/llms/governance/integrations/integrate-atlan-with-google-sheets/llms.txt): The Atlan add-on for Google Sheets makes it easy to edit column metadata in bulk for your data assets in Atlan.
- [Integrate Atlan with Microsoft Excel](https://docs.atlan.com/llms/governance/integrations/integrate-atlan-with-microsoft-excel/llms.txt): The Atlan add-in for Microsoft Excel makes it easy to enrich metadata in bulk for your data assets in Atlan. You can use the Atlan add-in for both the web and desktop versions of Microsoft Excel.
- [Link your account](https://docs.atlan.com/llms/governance/integrations/link-your-account/llms.txt): To export assets to and bulk enrich metadata from a supported spreadsheet tool,.
- [Update column metadata in Google Sheets](https://docs.atlan.com/llms/governance/integrations/update-column-metadata-in-google-sheets/llms.txt): Once you've connected Atlan with Google Sheets, you can import the column metadata for all your data assets in Atlan and make changes to them directly in Google Sheets.
- [Update column metadata in Microsoft Excel](https://docs.atlan.com/llms/governance/integrations/update-column-metadata-in-microsoft-excel/llms.txt): Once you've connected Atlan with Microsoft Excel, you can import the column metadata for all your data assets in Atlan and make changes to them directly in Microsoft Excel.
- [Troubleshooting spreadsheets](https://docs.atlan.com/llms/governance/integrations/troubleshooting-spreadsheets/llms.txt): Why do I need admin consent for exporting assets to Microsoft Excel?
- [Send alerts for workflow events](https://docs.atlan.com/llms/governance/integrations/setup-workflow-alerting/llms.txt): Learn how to configure alerts for workflow events in Atlan via email or Google Chat.
- [Communication Integrations](https://docs.atlan.com/llms/governance/integrations/communication/llms.txt): Integrate Atlan with communication tools like SMTP and Announcements.
- [SMTP and Announcements Integration](https://docs.atlan.com/llms/governance/integrations/smtp-and-announcements/llms.txt): Integrate Atlan with SMTP to send announcements and notifications.
- [Configure SMTP](https://docs.atlan.com/llms/governance/integrations/configure-smtp/llms.txt): Atlan uses SMTP to send emails, primarily for things like inviting users, login failure alerts, and scheduled queries. We provide an embedded SMTP server to do this, out-of-the-box.
- [Create announcements](https://docs.atlan.com/llms/governance/integrations/create-announcements/llms.txt): Adding an announcement to your data asset helps you call attention to an important feature or notify others about a change coming down the pipeline. Since announcements in Atlan display the time stamp and author information, you can easily identify whether an announcement is still relevant and who to ask for questions.
- [Manage system announcements](https://docs.atlan.com/llms/governance/integrations/manage-system-announcements/llms.txt): Have you ever wanted to notify everyone on the system of something? System announcements allow you to do just that. For example, you could welcome your users when you're first launching Atlan. Or you could use it to warn them about planned outages to large parts of your IT landscape.
- [Project Management Integrations](https://docs.atlan.com/llms/governance/integrations/project-management/llms.txt): Integrate Atlan with project management tools like Jira and ServiceNow.
- [Jira](https://docs.atlan.com/llms/governance/integrations/jira/llms.txt): Integrate Atlan with Jira to automate ticket creation and link your Jira account.
- [Integrate Jira Cloud](https://docs.atlan.com/llms/governance/integrations/integrate-jira-cloud/llms.txt): You must have at least one issue already created in Jira before integrating it with Atlan. This will enable Atlan to detect whether the Atlan app is installed in your Jira workspace for the integration to work.
- [Integrate Jira Data Center](https://docs.atlan.com/llms/governance/integrations/integrate-jira-data-center/llms.txt): You will need to configure an incoming link with an external application - in this case, Atlan. This will allow Atlan to access Jira data, which means that Jira will act as the OAuth provider.
- [Link your Jira account](https://docs.atlan.com/llms/governance/integrations/link-your-jira-account/llms.txt): To create and link Jira issues inside Atlan, you may first need to link your Jira account. This is done automatically for the admin user that set up the Jira integration, but not for other users.
- [Troubleshooting Jira](https://docs.atlan.com/llms/governance/integrations/troubleshooting-jira/llms.txt): Troubleshoot Jira integration issues with error, cause, and solution guidance.
- [What is included in the Jira integration?](https://docs.atlan.com/llms/governance/integrations/jira-integration/llms.txt): With two of your most important workspaces connected, you can save time and improve the way you track issues for your data.
- [Can I configure additional fields or auto-assign owners to Jira tickets created from Atlan?](https://docs.atlan.com/llms/governance/integrations/auto-assign-owners/llms.txt): Refer to our troubleshooting Jira documentation to learn more.
- [Can site renaming affect the Jira integration?](https://docs.atlan.com/llms/governance/integrations/site-renaming/llms.txt): Learn about can site renaming affect the jira integration?.
- [ServiceNow](https://docs.atlan.com/llms/governance/integrations/servicenow/llms.txt): Integrate Atlan with ServiceNow to automate ticket creation and link your ServiceNow account.
- [Integrate ServiceNow](https://docs.atlan.com/llms/governance/integrations/integrate-servicenow/llms.txt): If your Atlan admin has enabled the governance workflows and inbox module in your Atlan workspace, you can create a ServiceNow integration to allow your users to grant or revoke data access for governed assets in Atlan or any other data source.
- [Link your ServiceNow account](https://docs.atlan.com/llms/governance/integrations/link-your-servicenow-account/llms.txt): To request or revoke data access through ServiceNow inside Atlan, you may first need to link your ServiceNow account. This is done automatically for the user that set up the ServiceNow integration, but not for other users.
- [Troubleshooting ServiceNow](https://docs.atlan.com/llms/governance/integrations/troubleshooting-servicenow/llms.txt): Why is the security\_admin role required to complete the ServiceNow integration?
- [Asset Change Notification](https://docs.atlan.com/llms/governance/integrations/asset-change-notification/llms.txt): Trigger notifications to external systems when asset metadata changes in Atlan. Reference for workflow configuration, event filtering, and notification-destination setup.

#### [Playbooks](https://docs.atlan.com/llms/governance/playbooks/llms.txt)

> Create and manage automated workflows for metadata management and data governance.

- [Set up playbooks](https://docs.atlan.com/llms/governance/playbooks/set-up-playbooks/llms.txt): Set up playbooks to automate metadata updates at scale using rule-based automations in Atlan. Setup requires admin user permissions in Atlan.
- [Manage playbooks](https://docs.atlan.com/llms/governance/playbooks/manage-playbooks/llms.txt): Monitor, modify, or delete playbooks at any time, and enable notifications to track playbook runs in Slack or Microsoft Teams.
- [Automate data profiling](https://docs.atlan.com/llms/governance/playbooks/automate-data-profiling/llms.txt): Create profiling playbooks to scan data assets at scale, identify data quality issues, and improve asset quality. Setup requires admin user permissions in Atlan.
- [Troubleshooting playbooks](https://docs.atlan.com/llms/governance/playbooks/troubleshooting-playbooks/llms.txt): Learn about troubleshooting playbooks.

#### [Workspace Settings](https://docs.atlan.com/llms/governance/administration/llms.txt)

> Learn about administration.

- [Export administrative configuration](https://docs.atlan.com/llms/governance/administration/export-administrative-configuration/llms.txt): Learn how to use the Admin export app to export users, groups, personas, purposes, and policies from Atlan into an Excel workbook for backup and reporting.
- [Set up customer managed keys](https://docs.atlan.com/llms/governance/administration/set-up-customer-managed-keys/llms.txt): Learn how to set up customer managed keys to protect the secrets and credentials stored in Atlan.
- [Disable user activity](https://docs.atlan.com/llms/governance/administration/disable-user-activity/llms.txt): You can view recently visited users and total views on your assets in Atlan by default. To disable asset profile visitors, complete these steps.
- [Enable associated terms](https://docs.atlan.com/llms/governance/administration/enable-associated-terms/llms.txt): To enable associated terms, follow these steps.
- [Enable discovery of process assets](https://docs.atlan.com/llms/governance/administration/enable-discovery-of-process-assets/llms.txt): To create a more customizable experience for your users, you can turn on discovery and tracking of process assets.
- [Enable sample data download](https://docs.atlan.com/llms/governance/administration/enable-sample-data-download/llms.txt): Atlan allows admin users to enable or disable downloading sample data. This can help you enforce better governance across your organization.
- [Enable scheduled queries](https://docs.atlan.com/llms/governance/administration/enable-scheduled-queries/llms.txt): To enable scheduled queries, follow these steps.
- [Enable event logs in AWS](https://docs.atlan.com/llms/governance/administration/enable-event-logs-in-aws/llms.txt): Configure S3 bucket replication to receive Keycloak event logs from Atlan
- [Enable event logs in Azure](https://docs.atlan.com/llms/governance/administration/enable-event-logs-in-azure/llms.txt): Configure object replication to sync Keycloak event logs to your Azure Storage
- [Enable event logs in GCP](https://docs.atlan.com/llms/governance/administration/enable-event-logs-in-gcp/llms.txt): Configure Logs Router to sync Keycloak event logs from Atlan's Log Explorer to your GCP destination
- [Create README templates](https://docs.atlan.com/llms/governance/administration/create-readme-templates/llms.txt): Admin users in Atlan can create, curate, and manage README templates from the governance center. Once admin users have created the templates, other users will be able to select these templates and enrich their assets with READMEs. They will also be able to see a rich preview of each template before adding the relevant documentation.
- [Private network connectivity to your data sources](https://docs.atlan.com/llms/governance/administration/private-connectivity/llms.txt): A decision guide for connecting Atlan to your data sources privately, without crossing the public internet—which pattern fits your cloud and source.
- [Private connectivity over AWS PrivateLink (NLB + endpoint service)](https://docs.atlan.com/llms/governance/administration/aws-privatelink-classic/llms.txt): Classic AWS PrivateLink for Atlan: publish a VPC endpoint service backed by an NLB; covers AWS databases, on-premises sources, and multi-account hubs.
- [Private connectivity with AWS PrivateLink resource gateways](https://docs.atlan.com/llms/governance/administration/aws-privatelink-resource-gateway/llms.txt): Share individual AWS databases with Atlan over PrivateLink using VPC resource gateways—no NLB, endpoint service, or target-group maintenance.
- [Private connectivity with AWS VPC Lattice](https://docs.atlan.com/llms/governance/administration/aws-vpc-lattice/llms.txt): At-scale AWS private connectivity: one VPC Lattice service-network share reaches many databases across VPCs and accounts, with real hostnames for RDS IAM auth.
- [Private connectivity with Azure Private Link](https://docs.atlan.com/llms/governance/administration/azure-private-link/llms.txt): Azure Private Link for Atlan: direct private endpoints into PaaS services, or IaaS sources behind a Standard SKU ILB and Private Link Service.
- [Private connectivity on Google Cloud with Private Service Connect](https://docs.atlan.com/llms/governance/administration/gcp-private-service-connect/llms.txt): Connect Atlan to Google Cloud data sources using Private Service Connect: Google APIs PSC for BigQuery and GCS, or published-service PSC for VPC databases.
- [Cross-region private network connectivity](https://docs.atlan.com/llms/governance/administration/cross-region-private-network-connectivity/llms.txt): Learn how Atlan supports private network connectivity to data sources in different AWS regions and across cloud providers.
- [Atlan Network Details](https://docs.atlan.com/llms/governance/administration/atlan-network-details/llms.txt): Learn about the network identities Atlan presents to your data sources—public egress IPs, private CIDR ranges, and endpoint identities for AWS, Azure, and GCP tenants.
- [Network Connectivity Glossary](https://docs.atlan.com/llms/governance/administration/network-connectivity-glossary/llms.txt): Definitions of the connectivity and identity terms used across Atlan's connector setup guides—endpoints, endpoint services, CIDR ranges, service principals, tenant settings, and more.
- [Admin export](https://docs.atlan.com/llms/governance/administration/admin-export/llms.txt): Export administrative data into Excel — users, groups, personas, purposes, and policies for backup, audits, and offline access model analysis.
- [API audit usage](https://docs.atlan.com/llms/governance/administration/api-audit-usage/llms.txt): Reference for the four audit surfaces Atlan exposes for API usage—asset audit search, authentication event streaming, workflow run history, and tenant log export—plus what's not available today.
- [Cloud logging and monitoring](https://docs.atlan.com/llms/governance/administration/cloud-logging-and-monitoring/llms.txt): Learn about Atlan's Keycloak event logs exported in OpenTelemetry Protocol (OTLP) specification for SIEM integration and security monitoring.

#### [FAQs](https://docs.atlan.com/llms/governance/faq/llms.txt)

> Find answers to common questions about using Atlan, organized by topic area for quick resolution.

- [Administration and Configuration](https://docs.atlan.com/llms/governance/faq/administration-and-configuration/llms.txt): Complete guide to administering and configuring your Atlan workspace, from basic settings to advanced customization.
- [Data Connections and Integration](https://docs.atlan.com/llms/governance/faq/data-connections-and-integration/llms.txt): General questions about connecting Atlan to your data sources, what metadata Atlan collects, and how to extend connectivity beyond native connectors.
- [Security and Compliance](https://docs.atlan.com/llms/governance/faq/security-and-compliance/llms.txt): Complete guide to Atlan's security features, compliance certifications, and data protection capabilities.
- [Tags and Metadata Management](https://docs.atlan.com/llms/governance/faq/tags-and-metadata-management/llms.txt): Complete guide to managing tags, classifications, and metadata in Atlan for effective data governance and organization.
- [User Management and Access Control](https://docs.atlan.com/llms/governance/faq/user-management-and-access-control/llms.txt): Complete guide to managing users, configuring access controls, and understanding permissions in Atlan.
- [Workflows and Data Processing](https://docs.atlan.com/llms/governance/faq/workflows-and-data-processing/llms.txt): Everything about managing data workflows, understanding lineage generation, and optimizing data processing pipelines in Atlan.

---

## Extend Atlan

→ Full index: [/llms/platform/llms.txt](https://docs.atlan.com/llms/platform/llms.txt) (shared with AI & Agents)

#### [Automate (low-level)](https://docs.atlan.com/llms/platform/python/llms.txt)

> Use Atlan's low-level SDKs to automate metadata operations: search, enrich, manage assets, react to events, and run workflows directly using Atlan's APIs.

- [Set up Atlan SDK](https://docs.atlan.com/llms/platform/python/set-up-sdk/llms.txt): Install and configure the Atlan Python SDK (pyatlan) and other integration approaches for building metadata workflows.
- [Build your first metadata workflow](https://docs.atlan.com/llms/platform/python/build-your-first-metadata-workflow/llms.txt): A hands-on walkthrough of reading and updating Atlan metadata using the Python SDK (pyatlan) with real SDK methods and patterns.
- [Manage assets](https://docs.atlan.com/llms/platform/python/asset-crud/llms.txt): Create, retrieve, update, delete, and restore assets programmatically using the Atlan Python SDK (pyatlan).
- [Create asset](https://docs.atlan.com/llms/platform/python/create-asset/llms.txt): Create any type of asset in Atlan using the Asset builder pattern with the Python SDK (pyatlan). Enrich assets with attributes before creation via POST /api/meta/entity/bulk.
- [Retrieve asset](https://docs.atlan.com/llms/platform/python/retrieve-asset/llms.txt): Retrieve assets in Atlan by GUID or qualified name using Asset and the Python SDK (pyatlan). Access full or minimal asset representations via GET /api/meta/entity/{guid}.
- [Update asset](https://docs.atlan.com/llms/platform/python/update-asset/llms.txt): Update assets in Atlan using the Python SDK — call the asset type's updater() with qualifiedName and name, then set only the attributes you want to change without overwriting unrelated fields.
- [Delete asset](https://docs.atlan.com/llms/platform/python/delete-asset/llms.txt): Delete assets in Atlan using Asset and the Python SDK (pyatlan) — soft-delete (archive) or hard-delete (purge), including bulk deletion via DELETE /api/meta/entity/bulk.
- [Restore asset](https://docs.atlan.com/llms/platform/python/restore-asset/llms.txt): Restore soft-deleted (archived) assets in Atlan using Asset and the Python SDK (pyatlan).
- [Find and apply suggestions](https://docs.atlan.com/llms/platform/python/apply-suggestions/llms.txt): Find and apply metadata suggestions to assets programmatically using the Atlan Python SDK (pyatlan) and Suggestions API.
- [View asset change history](https://docs.atlan.com/llms/platform/python/review-asset-history/llms.txt): Query asset change history in Atlan using AuditSearchRequest and the Python SDK. URl is POST /api/meta/entity/auditSearch returns a dedicated audit log distinct from the main indexsearch index.
- [Asset search logs](https://docs.atlan.com/llms/platform/python/review-access-logs/llms.txt): Track asset view activity in Atlan using SearchLogRequest and the Python SDK — POST /api/meta/search/searchlog returns viewer counts, most-viewed assets, and detailed log entries per asset.
- [Manage requests](https://docs.atlan.com/llms/platform/python/manage-requests/llms.txt): List, create, approve, and reject Metadata Inbox requests programmatically using the Atlan Python SDK (pyatlan)—including bulk approval scripts.
- [Manage governance workflow approvals](https://docs.atlan.com/llms/platform/python/manage-governance-workflow-approvals/llms.txt): Discover, inspect, and bulk-approve or reject governance workflow tasks (the Inbox) programmatically using the Atlan Python SDK (pyatlan).
- [Search assets](https://docs.atlan.com/llms/platform/python/search-references/llms.txt): Search and filter assets programmatically using the Atlan Python SDK (pyatlan) with queries, attributes, sorting, and pagination.
- [Find assets by criteria (Python SDK)](https://docs.atlan.com/llms/platform/python/find-assets/llms.txt): Find and retrieve assets by criteria using the Atlan Python SDK (pyatlan), contrasting traversal and search methods.
- [Search for assets](https://docs.atlan.com/llms/platform/python/search-assets/llms.txt): Search assets in Atlan with the Python SDK — use FluentSearch and client.assets.select() with where(), whereNot(), and whereSome() conditions to build Elasticsearch-backed queries.
- [Search examples](https://docs.atlan.com/llms/platform/python/search-examples/llms.txt): Search examples for various asset types using the Atlan Python SDK (pyatlan), including connections, tables, columns, and more.
- [Aggregate search results](https://docs.atlan.com/llms/platform/python/aggregation/llms.txt): Aggregate search results programmatically using the Atlan Python SDK (pyatlan) with bucket and metric aggregation techniques.
- [Limit search result details](https://docs.atlan.com/llms/platform/python/limit/llms.txt): Control search result details programmatically using the Atlan Python SDK (pyatlan) to include specific asset properties and relationships.
- [Paginate search results](https://docs.atlan.com/llms/platform/python/paging/llms.txt): Page through search results programmatically using the Atlan Python SDK (pyatlan) with automatic pagination and page size control.
- [Sort search results](https://docs.atlan.com/llms/platform/python/sort/llms.txt): Sort search results programmatically using the Atlan Python SDK (pyatlan) by one or multiple properties with Elasticsearch DSL.
- [Query overview](https://docs.atlan.com/llms/platform/python/queries/llms.txt): Understand query and filter contexts in the Atlan Python SDK (pyatlan) using Elasticsearch query DSL for asset searches.
- [Compound queries](https://docs.atlan.com/llms/platform/python/compound/llms.txt): Build compound queries with the Atlan Python SDK (pyatlan) to combine multiple search conditions with boolean logic.
- [Full text queries](https://docs.atlan.com/llms/platform/python/full-text/llms.txt): Use full-text queries with the Atlan Python SDK (pyatlan) to search analyzed text fields and find results by keywords.
- [Rank feature queries](https://docs.atlan.com/llms/platform/python/rank-feature/llms.txt): Use rank feature queries with the Atlan Python SDK (pyatlan) to boost search result relevance based on numeric field values.
- [Term-level queries overview](https://docs.atlan.com/llms/platform/python/term-level/llms.txt): Build term-level queries with the Atlan Python SDK (pyatlan) for precise searches on structured data without text analysis.
- [Explanation of searchable fields in Atlan](https://docs.atlan.com/llms/platform/python/searchable-fields/llms.txt): Reference guide for searchable fields in the Atlan Python SDK (pyatlan) with details on field types and indexing strategies.
- [Common search fields](https://docs.atlan.com/llms/platform/python/common/llms.txt): Reference common search fields available on all assets using the Atlan Python SDK (pyatlan) for searching metadata.
- [Business Graph attributes](https://docs.atlan.com/llms/platform/python/glossary/llms.txt): Reference glossary-specific search attributes for terms and categories using the Atlan Python SDK (pyatlan).
- [Enrich assets](https://docs.atlan.com/llms/platform/python/python-how-tos/llms.txt): Apply certificates, announcements, owners, tags, custom metadata, and other enrichments to assets in Atlan using the Python SDK.
- [Certify assets](https://docs.atlan.com/llms/platform/python/certify-assets/llms.txt): Certify assets in Atlan using CertificateStatus and the Python SDK (pyatlan). Add, update, or remove certification status programmatically.
- [Manage announcements](https://docs.atlan.com/llms/platform/python/manage-announcements/llms.txt): Add and remove announcements from assets programmatically using the Atlan Python SDK (pyatlan).
- [Manage asset descriptions](https://docs.atlan.com/llms/platform/python/change-description/llms.txt): Update, remove, or add descriptions to assets programmatically using the Atlan Python SDK (pyatlan).
- [Manage asset owners](https://docs.atlan.com/llms/platform/python/change-owners/llms.txt): Change, add, or remove owners for assets programmatically using the Atlan Python SDK (pyatlan).
- [Manage asset tags](https://docs.atlan.com/llms/platform/python/tag-assets/llms.txt): Tag and classify assets in Atlan using AtlanTag and the Python SDK (pyatlan). Add, update, and remove classification tags and manage their propagation.
- [Manage custom metadata on assets](https://docs.atlan.com/llms/platform/python/add-custom-metadata/llms.txt): Set and update custom metadata (business attributes) on assets in Atlan using the Python SDK — write attribute values per asset via POST /api/meta/entity/guid/{guid}/businessmetadata or in bulk via entity/bulk.
- [Link terms and assets](https://docs.atlan.com/llms/platform/python/link-terms/llms.txt): Link glossary terms to assets in Atlan using AtlasGlossaryTerm and the Python SDK (pyatlan). Append, replace, or remove term assignments programmatically.
- [Link data domain and assets](https://docs.atlan.com/llms/platform/python/link-domains/llms.txt): Add, retrieve, and remove assets from data domains programmatically using the Atlan Python SDK (pyatlan).
- [Asset READMEs](https://docs.atlan.com/llms/platform/python/manage-readmes/llms.txt): Manage asset READMEs programmatically using the Atlan Python SDK (pyatlan). Add, edit, and remove HTML-formatted documentation.
- [Asset resources/links](https://docs.atlan.com/llms/platform/python/add-resources/llms.txt): Add resources and external links to assets in Atlan using Link and the Python SDK (pyatlan). Create link assets and attach them programmatically.
- [Manage asset relationships with attributes](https://docs.atlan.com/llms/platform/python/manage-relationship-attributes/llms.txt): Create, retrieve, and delete attributed relationships programmatically using the Atlan Python SDK (pyatlan).
- [Lineage overview](https://docs.atlan.com/llms/platform/python/lineage/llms.txt): Understand lineage in Atlan's Python SDK — lineage is modeled as Process entities with inputs and outputs, enabling programmatic creation and traversal of data pipeline dependencies.
- [Create and manage lineage](https://docs.atlan.com/llms/platform/python/manage-lineage/llms.txt): Create and manage asset lineage in Atlan using LineageProcess and the Python SDK (pyatlan). Build process entities with inputs and outputs to model data pipeline dependencies.
- [Traverse lineage](https://docs.atlan.com/llms/platform/python/traverse-lineage/llms.txt): Traverse asset lineage in Atlan using FluentLineage and the Python SDK (pyatlan). Filter upstream and downstream lineage by asset type, depth, and connection.
- [Bulk updates](https://docs.atlan.com/llms/platform/python/bulk-updates/llms.txt): Efficiently update multiple assets at once using the Atlan Python SDK (pyatlan) with advanced techniques and end-to-end patterns.
- [Combine multiple operations](https://docs.atlan.com/llms/platform/python/combine-operations/llms.txt): Combine multiple asset update operations into a single API call in Atlan using Batch and the Python SDK (pyatlan).
- [Operate on multiple assets](https://docs.atlan.com/llms/platform/python/update-multiple-assets/llms.txt): Update multiple assets at once in Atlan using Batch and the Python SDK (pyatlan). Efficiently apply bulk attribute changes via POST /api/meta/entity/bulk.
- [End-to-end bulk update](https://docs.atlan.com/llms/platform/python/update-assets-end-to-end/llms.txt): End-to-end bulk asset update in Atlan using Batch and the Python SDK (pyatlan). Step-by-step guide for efficiently updating large numbers of assets.
- [Event handling](https://docs.atlan.com/llms/platform/python/events-how-tos/llms.txt): Process metadata events in real-time using the Atlan Python SDK (pyatlan) and webhooks. Build event-driven integrations with webhook handlers.
- [Handle webhooks via AWS Lambda](https://docs.atlan.com/llms/platform/python/aws-lambda/llms.txt): Set up AWS Lambda functions to handle Atlan webhook events using the Python SDK (pyatlan). Process metadata events in real-time with event-driven integrations.
- [Set up AWS Lambda](https://docs.atlan.com/llms/platform/python/setup-lambda/llms.txt): Set up AWS Lambda layers and functions with the Atlan Python SDK (pyatlan) for event-driven metadata processing.
- [Set up webhook in Atlan](https://docs.atlan.com/llms/platform/python/setup-webhook/llms.txt): Set up webhooks in Atlan to trigger AWS Lambda functions for event-driven integrations using the Python SDK (pyatlan).
- [Write event handler code (AWS Lambda)](https://docs.atlan.com/llms/platform/python/code-event-logic/llms.txt): Write event handler logic for AWS Lambda using the Atlan Python SDK (pyatlan) to process metadata events in real-time.
- [Deploy Lambda function to AWS](https://docs.atlan.com/llms/platform/python/deploy-lambda/llms.txt): Deploy AWS Lambda functions with the Atlan Python SDK (pyatlan) for event-driven metadata processing and real-time integrations.
- [Manage webhook](https://docs.atlan.com/llms/platform/python/manage-webhook/llms.txt): Monitor and manage webhooks with the Atlan Python SDK (pyatlan) for real-time event processing and error handling.
- [Supported apps](https://docs.atlan.com/llms/platform/python/apps/llms.txt): Browse the Atlan apps you can create and run with the Python SDK (pyatlan)—a builder per connector for crawlers, miners, and enrichment jobs.
- [Manage apps](https://docs.atlan.com/llms/platform/python/manage-apps/llms.txt): Create, run, schedule, and manage Atlan app workflows with the AppClient.
- [Anaplan assets app](https://docs.atlan.com/llms/platform/python/anaplan-sdk-references-app-reference/llms.txt): Learn how to crawl Anaplan assets and publish them to Atlan for discovery.
- [Apache Kafka assets app](https://docs.atlan.com/llms/platform/python/apache-kafka-sdk-references-app-reference/llms.txt): Learn how to crawl Apache Kafka topics and publish them to Atlan for discovery.
- [Athena assets app](https://docs.atlan.com/llms/platform/python/amazon-athena-sdk-references-app-reference/llms.txt): Learn how to crawl Amazon Athena assets and publish them to Atlan for discovery.
- [BigQuery assets app](https://docs.atlan.com/llms/platform/python/google-bigquery-sdk-references-app-reference/llms.txt): Learn how to crawl Google BigQuery assets and publish them to Atlan for discovery.
- [BigQuery miner app](https://docs.atlan.com/llms/platform/python/google-bigquery-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from BigQuery to generate lineage and usage metrics.
- [Confluent Kafka assets app](https://docs.atlan.com/llms/platform/python/confluent-kafka-sdk-references-app-reference/llms.txt): Learn how to crawl Confluent Kafka topics and publish them to Atlan for discovery.
- [Databricks assets app](https://docs.atlan.com/llms/platform/python/databricks-sdk-references-app-reference/llms.txt): Learn how to crawl Databricks assets and publish them to Atlan for discovery.
- [Databricks miner app](https://docs.atlan.com/llms/platform/python/databricks-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Databricks to generate lineage and usage metrics.
- [DynamoDB assets app](https://docs.atlan.com/llms/platform/python/amazon-dynamodb-sdk-references-app-reference/llms.txt): Learn how to crawl Amazon DynamoDB assets and publish them to Atlan for discovery.
- [Glue assets app](https://docs.atlan.com/llms/platform/python/aws-glue-sdk-references-app-reference/llms.txt): Learn how to crawl AWS Glue Data Catalog assets and publish them to Atlan for discovery.
- [Google Dataplex assets app](https://docs.atlan.com/llms/platform/python/knowledge-catalog-sdk-references-app-reference/llms.txt): Learn how to crawl Google Dataplex (Knowledge Catalog) assets and publish them to Atlan.
- [Hive assets app](https://docs.atlan.com/llms/platform/python/hive-sdk-references-app-reference/llms.txt): Learn how to crawl Apache Hive assets and publish them to Atlan for discovery.
- [Metabase assets app](https://docs.atlan.com/llms/platform/python/metabase-sdk-references-app-reference/llms.txt): Learn how to crawl Metabase assets and publish them to Atlan for discovery.
- [Microsoft SQL Server assets app](https://docs.atlan.com/llms/platform/python/microsoft-sql-server-sdk-references-app-reference/llms.txt): Learn how to crawl Microsoft SQL Server assets and publish them to Atlan for discovery.
- [MongoDB assets app](https://docs.atlan.com/llms/platform/python/mongodb-sdk-references-app-reference/llms.txt): Learn how to crawl MongoDB Atlas assets and publish them to Atlan for discovery.
- [MySQL assets app](https://docs.atlan.com/llms/platform/python/mysql-sdk-references-app-reference/llms.txt): Learn how to crawl MySQL assets and publish them to Atlan for discovery.
- [Oracle assets app](https://docs.atlan.com/llms/platform/python/oracle-sdk-references-app-reference/llms.txt): Learn how to crawl Oracle assets and publish them to Atlan for discovery.
- [Oracle miner app](https://docs.atlan.com/llms/platform/python/oracle-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Oracle to generate lineage and usage metrics.
- [PostgreSQL assets app](https://docs.atlan.com/llms/platform/python/postgresql-sdk-references-app-reference/llms.txt): Learn how to crawl PostgreSQL assets and publish them to Atlan for discovery.
- [PostgreSQL miner app](https://docs.atlan.com/llms/platform/python/postgresql-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from PostgreSQL to generate lineage and usage metrics.
- [Power BI assets app](https://docs.atlan.com/llms/platform/python/microsoft-power-bi-sdk-references-app-reference/llms.txt): Learn how to crawl Power BI assets and publish them to Atlan for discovery.
- [Power BI miner app](https://docs.atlan.com/llms/platform/python/microsoft-power-bi-sdk-references-app-miner-reference/llms.txt): Learn how to mine Power BI activity to generate usage and popularity metrics.
- [Presto assets app](https://docs.atlan.com/llms/platform/python/prestosql-sdk-references-app-reference/llms.txt): Learn how to crawl Presto assets and publish them to Atlan for discovery.
- [QuickSight assets app](https://docs.atlan.com/llms/platform/python/amazon-quicksight-sdk-references-app-reference/llms.txt): Learn how to crawl Amazon QuickSight assets and publish them to Atlan for discovery.
- [Redash assets app](https://docs.atlan.com/llms/platform/python/redash-sdk-references-app-reference/llms.txt): Learn how to crawl Redash assets and publish them to Atlan for discovery.
- [Sigma assets app](https://docs.atlan.com/llms/platform/python/sigma-sdk-references-app-reference/llms.txt): Learn how to crawl Sigma assets and publish them to Atlan for discovery.
- [Snowflake assets app](https://docs.atlan.com/llms/platform/python/snowflake-sdk-references-app-reference/llms.txt): Learn how to crawl Snowflake assets and publish them to Atlan for discovery.
- [Snowflake miner app](https://docs.atlan.com/llms/platform/python/snowflake-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Snowflake to generate lineage and usage metrics.
- [Tableau assets app](https://docs.atlan.com/llms/platform/python/tableau-sdk-references-app-reference/llms.txt): Learn how to crawl Tableau assets and publish them to Atlan for discovery.
- [Teradata assets app](https://docs.atlan.com/llms/platform/python/teradata-sdk-references-app-reference/llms.txt): Learn how to crawl Teradata assets and publish them to Atlan for discovery.
- [Teradata miner app](https://docs.atlan.com/llms/platform/python/teradata-sdk-references-app-miner-reference/llms.txt): Learn how to mine query history from Teradata to generate lineage and usage metrics.
- [Trino assets app](https://docs.atlan.com/llms/platform/python/trino-sdk-references-app-reference/llms.txt): Learn how to crawl Trino assets and publish them to Atlan for discovery.
- [dbt assets app](https://docs.atlan.com/llms/platform/python/dbt-sdk-references-app-reference/llms.txt): Learn how to crawl dbt assets (dbt Cloud or dbt Core) and publish them to Atlan.
- [Run Asset Export Basic app](https://docs.atlan.com/llms/platform/python/asset-export-basic/llms.txt): Export assets, glossaries, and data products out of Atlan to a file—as a download, by email, or to object storage—using the Python SDK.
- [Run Standard Lineage app](https://docs.atlan.com/llms/platform/python/standard-lineage/llms.txt): Build lineage across multiple connections of a single connector using the Python SDK, and re-scope the workflow as connections are onboarded.
- [Manage relational assets](https://docs.atlan.com/llms/platform/python/relational-assets-how-tos-manage-assets/llms.txt): Create and manage relational assets — Connections, Databases, Schemas, Tables, Views, and Columns — using the Atlan Python SDK (pyatlan). Programmatically build and update RDBMS asset hierarchies.
- [Manage Azure Data Lake Storage assets](https://docs.atlan.com/llms/platform/python/adls-how-tos-manage-assets/llms.txt): Create, retrieve, update, and delete ADLS assets programmatically using the Atlan Python SDK (pyatlan). Manage connections, accounts, containers, and objects.
- [Manage AI assets](https://docs.atlan.com/llms/platform/python/ai-assets-how-tos-manage-assets/llms.txt): Create and manage AI models and AI applications using the Atlan Python SDK (pyatlan). Programmatically manage AI model assets and their relationships.
- [Manage API assets](https://docs.atlan.com/llms/platform/python/api-assets-how-tos-manage-assets/llms.txt): Create, update, and manage API assets programmatically using the Atlan Python SDK (pyatlan). Manage API specs, paths, objects, queries, and fields.
- [Manage App assets](https://docs.atlan.com/llms/platform/python/app-assets-how-tos-manage-assets/llms.txt): Create and manage Application assets programmatically using the Atlan Python SDK (pyatlan). Manage connections, applications, and application fields.
- [Manage cube assets](https://docs.atlan.com/llms/platform/python/cube-assets-how-tos-manage-assets/llms.txt): Create and manage multidimensional cube assets using the Atlan Python SDK (pyatlan). Programmatically manage cubes, dimensions, hierarchies, and fields.
- [Manage DocumentDB assets](https://docs.atlan.com/llms/platform/python/documentdb-how-tos-manage-assets/llms.txt): Create and manage DocumentDB assets using the Atlan Python SDK (pyatlan). Programmatically manage connections, databases, and collections.
- [Manage file assets](https://docs.atlan.com/llms/platform/python/file-assets-how-tos-manage-assets/llms.txt): Create, retrieve, update, and delete file assets programmatically using the Atlan Python SDK (pyatlan). Manage connections and files.
- [Manage Google Data Studio assets](https://docs.atlan.com/llms/platform/python/google-data-studio-how-tos-manage-assets/llms.txt): Create, retrieve, update, and delete Google Data Studio assets programmatically using the Atlan Python SDK (pyatlan). Manage connections, data sources, and reports.
- [Manage Data Exploration assets](https://docs.atlan.com/llms/platform/python/insights-assets-how-tos-manage-assets/llms.txt): Create, retrieve, update, and delete Data Exploration assets programmatically using the Atlan Python SDK (pyatlan). Manage collections, folders, and queries.
- [Manage Preset assets](https://docs.atlan.com/llms/platform/python/preset-how-tos-manage-assets/llms.txt): Create, retrieve, update, and delete Preset assets programmatically using the Atlan Python SDK (pyatlan). Manage connections, workspaces, collections, charts, and datasets.
- [Manage Superset assets](https://docs.atlan.com/llms/platform/python/superset-how-tos-manage-assets/llms.txt): Create, retrieve, update, and delete Superset assets programmatically using the Atlan Python SDK (pyatlan). Manage connections, dashboards, charts, and datasets.
- [Python SDK code conventions](https://docs.atlan.com/llms/platform/python/conventions/llms.txt): Reference documentation for code conventions and version requirements in the Atlan Python SDK (pyatlan).
- [Python SDK key concepts](https://docs.atlan.com/llms/platform/python/concepts/llms.txt): Core Python SDK concepts: typedefs define each asset type's data model in Atlan, all types extend the Asset base class, and this hierarchy underpins search, enrichment, and custom metadata.
- [Event reference](https://docs.atlan.com/llms/platform/python/events-references/llms.txt): Reference for Atlan event triggers and payload types in the Python SDK (pyatlan). Understand which metadata activities trigger events and event payload structures.
- [Events when asset is created](https://docs.atlan.com/llms/platform/python/asset-create/llms.txt): Reference for asset creation event triggers in the Atlan Python SDK (pyatlan). Understand ENTITY_CREATE and ENTITY_UPDATE events for event-driven integrations.
- [Events when asset is updated](https://docs.atlan.com/llms/platform/python/asset-update/llms.txt): Reference for asset update event triggers in the Atlan Python SDK (pyatlan). Understand ENTITY_UPDATE events for event-driven integrations.
- [Events when asset is deleted](https://docs.atlan.com/llms/platform/python/asset-delete/llms.txt): Reference for asset deletion event triggers in the Atlan Python SDK (pyatlan). Understand ENTITY_DELETE events for event-driven integrations.
- [Events when asset is tagged](https://docs.atlan.com/llms/platform/python/asset-tagged/llms.txt): Reference for asset tagging event triggers in the Atlan Python SDK (pyatlan). Understand CLASSIFICATION_ADD events for event-driven integrations.
- [Events when asset is untagged](https://docs.atlan.com/llms/platform/python/asset-untagged/llms.txt): Reference for asset untagging event triggers in the Atlan Python SDK (pyatlan). Understand CLASSIFICATION_DELETE events for event-driven integrations.
- [Events when custom metadata is added](https://docs.atlan.com/llms/platform/python/custom-metadata-add/llms.txt): Reference for custom metadata addition event triggers in the Atlan Python SDK (pyatlan). Understand BUSINESS_ATTRIBUTE_UPDATE events for event-driven integrations.
- [Events when custom metadata is removed](https://docs.atlan.com/llms/platform/python/custom-metadata-delete/llms.txt): Reference for custom metadata removal event triggers in the Atlan Python SDK (pyatlan). Understand BUSINESS_ATTRIBUTE_UPDATE events for event-driven integrations.
- [Events when lineage is created](https://docs.atlan.com/llms/platform/python/lineage-created/llms.txt): Reference for lineage creation event triggers in the Atlan Python SDK (pyatlan). Understand ENTITY_CREATE and ENTITY_UPDATE events for event-driven integrations.
- [`ENTITY_CREATE` event type](https://docs.atlan.com/llms/platform/python/entity-create/llms.txt): Reference for ENTITY_CREATE event payload in the Atlan Python SDK (pyatlan) for building event-driven integrations.
- [`ENTITY_UPDATE` event type](https://docs.atlan.com/llms/platform/python/entity-update/llms.txt): Reference for ENTITY_UPDATE event payload in the Atlan Python SDK (pyatlan) for building event-driven integrations.
- [`ENTITY_DELETE` event type](https://docs.atlan.com/llms/platform/python/entity-delete/llms.txt): Reference for ENTITY_DELETE event payload in the Atlan Python SDK (pyatlan) for building event-driven integrations.
- [`BUSINESS_ATTRIBUTE_UPDATE` event type](https://docs.atlan.com/llms/platform/python/business-attribute-update/llms.txt): Reference for BUSINESS_ATTRIBUTE_UPDATE event payload in the Atlan Python SDK (pyatlan) for building event-driven integrations.
- [`CLASSIFICATION_ADD` event type](https://docs.atlan.com/llms/platform/python/classification-add/llms.txt): Reference for CLASSIFICATION_ADD event payload in the Atlan Python SDK (pyatlan) for building event-driven integrations.
- [`CLASSIFICATION_DELETE` event type](https://docs.atlan.com/llms/platform/python/classification-delete/llms.txt): Reference for CLASSIFICATION_DELETE event payload in the Atlan Python SDK (pyatlan) for building event-driven integrations.
- [Specifications](https://docs.atlan.com/llms/platform/python/specs-references/llms.txt): Open standards supported by the Atlan Python SDK (pyatlan)—data contracts and OpenLineage for metadata interoperability.
- [Data contracts spec](https://docs.atlan.com/llms/platform/python/data-contract-spec/llms.txt): Data contract specification for use with the Atlan Python SDK (pyatlan) to define data expectations and SLAs.
- [OpenLineage spec](https://docs.atlan.com/llms/platform/python/openlineage-spec/llms.txt): OpenLineage specification for integrating lineage with the Atlan Python SDK (pyatlan) using open standards.

#### [Build apps](https://docs.atlan.com/llms/platform/build-apps/llms.txt)

> Build powerful apps that integrate natively into Atlan's metadata platform.

- [App Framework](https://docs.atlan.com/llms/platform/build-apps/app-framework/llms.txt): Understand the Atlan App Framework and how it lets you build durable, fault-tolerant applications on Atlan's metadata platform.
- [Apps and tasks](https://docs.atlan.com/llms/platform/build-apps/apps-and-tasks/llms.txt): Understand the App and @task primitives—the building blocks of every App Framework application.
- [Inputs and outputs](https://docs.atlan.com/llms/platform/build-apps/inputs-and-outputs/llms.txt): Typed Input and Output contracts—how the App Framework validates data between tasks and ensures safe serialization.
- [Credentials](https://docs.atlan.com/llms/platform/build-apps/credentials/llms.txt): Understand how the App Framework keeps secrets out of your code using typed credential references—declare, resolve, and access credentials safely in tasks and handlers at runtime.
- [Handlers](https://docs.atlan.com/llms/platform/build-apps/handlers/llms.txt): Implement the Handler—your app's HTTP interface—to validate credentials, run preflight checks, and surface available metadata for the Atlan setup form.
- [Templates](https://docs.atlan.com/llms/platform/build-apps/templates/llms.txt): Pre-built App subclasses for common extraction patterns—start from a template instead of from scratch.
- [SQL](https://docs.atlan.com/llms/platform/build-apps/sql/llms.txt): Extract SQL metadata using SqlApp—databases, schemas, tables, columns, views, and procedures from any SQL source.
- [Built-in APIs](https://docs.atlan.com/llms/platform/build-apps/api/llms.txt): Comprehensive REST APIs for managing apps, authentication, metadata operations, and configuration.
- [Authentication & metadata](https://docs.atlan.com/llms/platform/build-apps/auth-metadata/llms.txt): Source system connectivity and metadata operations including credential validation, metadata retrieval, and preflight checks.
- [Configuration management](https://docs.atlan.com/llms/platform/build-apps/configuration-management/llms.txt): App and system configuration management including configuration retrieval, updates, and app configuration UI.
- [Infrastructure management](https://docs.atlan.com/llms/platform/build-apps/server-management/llms.txt): Monitor and manage the App Framework server with health checks, readiness probes, and graceful shutdown operations.
- [UI & documentation](https://docs.atlan.com/llms/platform/build-apps/ui-documentation/llms.txt): UI and documentation endpoints for serving the application homepage, observability dashboard, and static documentation files.
- [Lifecycle management](https://docs.atlan.com/llms/platform/build-apps/workflow-management/llms.txt): Complete app lifecycle management including HTTP-triggered execution, status monitoring, and app termination.
- [Configuration](https://docs.atlan.com/llms/platform/build-apps/configuration/llms.txt): Environment variables and configuration options for App Framework applications.
- [Architecture (advanced)](https://docs.atlan.com/llms/platform/build-apps/architecture/llms.txt): Under-the-hood: how the App Framework's execution engine and infrastructure runtime work together.
- [Quickstart](https://docs.atlan.com/llms/platform/build-apps/tutorials/llms.txt): Install the App Framework, run your first sample app, and build a custom application—step by step.
- [Set up your development environment](https://docs.atlan.com/llms/platform/build-apps/set-up-development-environment/llms.txt): Install the App Framework Python package and prepare your local environment to build and run Atlan apps.
- [Run your first sample app](https://docs.atlan.com/llms/platform/build-apps/run-sample-app/llms.txt): Clone and run the Hello World sample app to see the App Framework's durable execution in action.
- [Build your first app](https://docs.atlan.com/llms/platform/build-apps/build-first-app/llms.txt): Edit the Pkl contract to add a new input field, use it in a task, add a third task, and pin the contracts with tests.
- [Sample apps](https://docs.atlan.com/llms/platform/build-apps/sample-apps/llms.txt): Reference applications built with the Atlan App Framework.
- [Test your apps](https://docs.atlan.com/llms/platform/build-apps/test-framework/llms.txt): Testing strategy for App Framework applications—unit, integration, and end-to-end tiers, with scope, speed, and infrastructure requirements for each.
- [Unit testing](https://docs.atlan.com/llms/platform/build-apps/unit-tests/llms.txt): Test App Framework tasks and handlers in isolation using mock infrastructure—no external services required.
- [Integration testing](https://docs.atlan.com/llms/platform/build-apps/integration-tests/llms.txt): Write and run integration tests for App Framework connectors using scenarios, assertions, and locally running Dapr and Temporal services.
- [End-to-end testing](https://docs.atlan.com/llms/platform/build-apps/e2e-tests/llms.txt): Validate the complete production data flow for App Framework connectors with a live Atlan tenant using BaseE2ETest or SQLAppE2ETest.
- [Package app with Docker](https://docs.atlan.com/llms/platform/build-apps/package-app-with-docker/llms.txt): Build Docker images for your Atlan applications to create OCI-compliant containers for deployment within Atlan's runtime environment
- [Push images to Harbor registry](https://docs.atlan.com/llms/platform/build-apps/push-images-to-harbor-registry/llms.txt): Push your containerized application images to Atlan's Harbor registry for staging and deployment within the partner program
- [Embed external apps](https://docs.atlan.com/llms/platform/build-apps/embed-external-apps/llms.txt): Embed your web app so users can open it from the sidebar or asset profiles.
- [Develop your app](https://docs.atlan.com/llms/platform/build-apps/develop-locally/llms.txt): Run your app on localhost and authenticate to your tenant to test API calls before embedding.
- [Embed your app](https://docs.atlan.com/llms/platform/build-apps/embed-in-atlan/llms.txt): Deploy your app, set CSP and authentication, and register it so the product can load it in an iframe.
- [Register your app](https://docs.atlan.com/llms/platform/build-apps/register-your-app/llms.txt): Share app details with your Atlan admin or Atlan support so your embedded app appears in the sidebar or on asset profiles.
- [App registration](https://docs.atlan.com/llms/platform/build-apps/register-app/llms.txt): Configure iframe URL, allowed origins, and where the app appears (sidebar, asset tabs, conditional rules).
- [Auth payload](https://docs.atlan.com/llms/platform/build-apps/auth-context/llms.txt): Token, user identity, and page in ATLAN_AUTH_CONTEXT (for example, asset GUID in page.params).
- [Send and receive messages](https://docs.atlan.com/llms/platform/build-apps/postmessage-reference/llms.txt): postMessage types and payloads: send IFRAME_READY or request a token; handle ATLAN_AUTH_CONTEXT.
- [Choose right way to automate Atlan](https://docs.atlan.com/llms/platform/build-apps/choose-how-to-automate/llms.txt): Pick the simplest programmatic mechanism for a metadata task—API, SDK, packages, MDLH, or MCP—and design it to run safely at scale.
- [API limits, batching, and automation reference](https://docs.atlan.com/llms/platform/build-apps/api-limits-and-automation/llms.txt): Rate limits, batching sizes, retry/backoff standards, client requirements, and hard constraints for Atlan's programmatic surfaces—REST API, SDKs, webhooks, governance workflows, and the MCP server.
- [Custom solutions](https://docs.atlan.com/llms/platform/build-apps/custom-solutions/llms.txt): Learn about custom solutions.
- [Embedded app connection and authentication issues](https://docs.atlan.com/llms/platform/build-apps/connection-and-authentication-issues/llms.txt): Troubleshoot timeout, iframe loading, and 401 errors when your app is embedded in Atlan.
- [Security for embedded apps](https://docs.atlan.com/llms/platform/build-apps/embedded-apps-security/llms.txt): Common security questions when embedding your app in Atlan: authentication, tokens, and CSP.
- [App Marketplace](https://docs.atlan.com/llms/platform/build-apps/app-marketplace/llms.txt): Frequently asked questions about building, publishing, and distributing apps through the Atlan App Marketplace using the App Framework.

### Metadata model

#### [Types](https://docs.atlan.com/llms/platform/types/llms.txt)

> Reference for Atlan's metadata type system—the schema definitions for every asset, relationship, and metadata object in Atlan.

- [AccessControl](https://docs.atlan.com/llms/platform/types/access-control/llms.txt): Atlan Type representing parent model for Persona, Purpose
- [Asset](https://docs.atlan.com/llms/platform/types/asset/llms.txt): Base class for all assets.
- [AtlasGlossary](https://docs.atlan.com/llms/platform/types/atlas-glossary/llms.txt): Instance of a glossary in Atlan.
- [AtlasGlossaryCategory](https://docs.atlan.com/llms/platform/types/atlas-glossary-category/llms.txt): Instance of a category in Atlan, an organizational construct for glossary terms.
- [AtlasGlossaryTerm](https://docs.atlan.com/llms/platform/types/atlas-glossary-term/llms.txt): Instance of a term in Atlan. Terms define concepts in natural language that can be associated with other assets to provide meaning.
- [AuthPolicy](https://docs.atlan.com/llms/platform/types/auth-policy/llms.txt): Model to store an accesscontrol policy in Atlas
- [AuthService](https://docs.atlan.com/llms/platform/types/auth-service/llms.txt): Model to store auth service in Atlas
- [AWS](https://docs.atlan.com/llms/platform/types/aws/llms.txt): Base class for AWS assets.
- [Azure](https://docs.atlan.com/llms/platform/types/azure/llms.txt): Base class for Azure assets.
- [BI](https://docs.atlan.com/llms/platform/types/bi/llms.txt): Base class for business intelligence assets.
- [BIProcess](https://docs.atlan.com/llms/platform/types/bi-process/llms.txt): Instance of business intelligence lineage in Atlan. These are used to short-circuit lineage from table-like assets directly to dashboard-like assets.
- [BusinessPolicy](https://docs.atlan.com/llms/platform/types/business-policy/llms.txt): Instance of a business policy template in Atlan.
- [Catalog](https://docs.atlan.com/llms/platform/types/catalog/llms.txt): Base class for catalog assets. Catalog assets include any asset that can participate in lineage.
- [Cloud](https://docs.atlan.com/llms/platform/types/cloud/llms.txt): Base class for cloud assets.
- [Collection](https://docs.atlan.com/llms/platform/types/collection/llms.txt): Instance of a query collection in Atlan.
- [ColumnProcess](https://docs.atlan.com/llms/platform/types/column-process/llms.txt): Instance of a column-level lineage process in Atlan. Inputs and outputs of these processes should be columns.
- [Connection](https://docs.atlan.com/llms/platform/types/connection/llms.txt): Instance of a connection to a data source in Atlan.
- [DataSet](https://docs.atlan.com/llms/platform/types/data-set/llms.txt): deprecated
- [EventStore](https://docs.atlan.com/llms/platform/types/event-store/llms.txt): Base class for event store assets.
- [Flow](https://docs.atlan.com/llms/platform/types/flow/llms.txt): Base class for flow-specific (ETL, other data processing) assets.
- [FlowControlOperation](https://docs.atlan.com/llms/platform/types/flow-control-operation/llms.txt): Execution of a single orchestrate-able unit of work.
- [FlowDataset](https://docs.atlan.com/llms/platform/types/flow-dataset/llms.txt): An ephemeral piece of data either produced by or used as input by a data operation.
- [FlowDatasetOperation](https://docs.atlan.com/llms/platform/types/flow-dataset-operation/llms.txt): A nested data operation that uses at least one ephemeral dataset as either an input or output.
- [FlowField](https://docs.atlan.com/llms/platform/types/flow-field/llms.txt): A single field of data within a broader ephemeral dataset.
- [FlowFieldOperation](https://docs.atlan.com/llms/platform/types/flow-field-operation/llms.txt): A nested field-level operation that uses at least one ephemeral field as either an input or output.
- [FlowFolder](https://docs.atlan.com/llms/platform/types/flow-folder/llms.txt): A grouping mechanism within a project to further organize data processing.
- [FlowProject](https://docs.atlan.com/llms/platform/types/flow-project/llms.txt): A project, workspace or namespace that is used to organize data processing.
- [FlowReusableUnit](https://docs.atlan.com/llms/platform/types/flow-reusable-unit/llms.txt): A reusable grouping of data flows that will be orchestrated together as a single unit.
- [Folder](https://docs.atlan.com/llms/platform/types/folder/llms.txt): Instance of a folder within a query collection in Atlan.
- [Form](https://docs.atlan.com/llms/platform/types/form/llms.txt): Instance of a form in Atlan.
- [Google](https://docs.atlan.com/llms/platform/types/google/llms.txt): Base class for Google assets.
- [Incident](https://docs.atlan.com/llms/platform/types/incident/llms.txt): Base class for Incident assets.
- [Infrastructure](https://docs.atlan.com/llms/platform/types/infrastructure/llms.txt): deprecated
- [Insight](https://docs.atlan.com/llms/platform/types/insight/llms.txt): Base class for Insights assets in Atlan.
- [Namespace](https://docs.atlan.com/llms/platform/types/namespace/llms.txt): Base class for query collections and folders.
- [NoSQL](https://docs.atlan.com/llms/platform/types/no-sql/llms.txt): Base class for NoSQL assets.
- [ObjectStore](https://docs.atlan.com/llms/platform/types/object-store/llms.txt): Base class for object store assets.
- [Persona](https://docs.atlan.com/llms/platform/types/persona/llms.txt): Atlan Type representing a Persona model
- [Process](https://docs.atlan.com/llms/platform/types/process/llms.txt): Instance of a lineage process in Atlan.
- [ProcessExecution](https://docs.atlan.com/llms/platform/types/process-execution/llms.txt)
- [Purpose](https://docs.atlan.com/llms/platform/types/purpose/llms.txt): Atlan Type representing a Purpose model
- [Referenceable](https://docs.atlan.com/llms/platform/types/referenceable/llms.txt): Base class for everything in Atlan that can be referenced by qualifiedName.
- [SaaS](https://docs.atlan.com/llms/platform/types/saa-s/llms.txt): Base class for SaaS application assets.
- [Task](https://docs.atlan.com/llms/platform/types/task/llms.txt): Instance of a Task for user in Atlan.
- [Workflow](https://docs.atlan.com/llms/platform/types/workflow/llms.txt): Instance of a governance workflow.
- [Agent](https://docs.atlan.com/llms/platform/types/agent/llms.txt): An AI agent in Atlan. An agent is a versioned, publishable unit that binds one or more skills and an LLM configuration to serve user requests. One Atlan entity is created per (slug, version) tuple.
- [Artifact](https://docs.atlan.com/llms/platform/types/artifact/llms.txt): Base class for artifacts in Atlan. An artifact is a file or data object associated with an agentic asset. Extends File for native fileType and filePath support.
- [Context](https://docs.atlan.com/llms/platform/types/context/llms.txt): Base class for Context assets. Context provides curated context repositories for NL2SQL and AI-powered data analysis.
- [ContextArtifact](https://docs.atlan.com/llms/platform/types/context-artifact/llms.txt): A context-specific artifact produced by a context repository. Inherits from both Context and Artifact for file type, versioning, and storage path.
- [ContextRepository](https://docs.atlan.com/llms/platform/types/context-repository/llms.txt): A curated context repository that organizes metrics, dimensions, filters, and other context for NL2SQL query generation.
- [Knowledge](https://docs.atlan.com/llms/platform/types/knowledge/llms.txt): Base class for Knowledge assets. Unified container for unstructured context files and knowledge artifacts in Atlan.
- [KnowledgeFile](https://docs.atlan.com/llms/platform/types/knowledge-file/llms.txt): User-uploaded unstructured file that feeds Atlan enrichment agents and context pipelines.
- [KnowledgeFolder](https://docs.atlan.com/llms/platform/types/knowledge-folder/llms.txt): Platform-managed container for unstructured context files in Atlan.
- [Skill](https://docs.atlan.com/llms/platform/types/skill/llms.txt): Base class for skills in Atlan. A skill is a reusable, versionable unit of capability that can be consumed by agents.
- [SkillArtifact](https://docs.atlan.com/llms/platform/types/skill-artifact/llms.txt): A file or data object associated with a skill. Extends Artifact for common artifact attributes (version, fileType, filePath). Linked to skills via containment relationship.
- [AIApplication](https://docs.atlan.com/llms/platform/types/ai-application/llms.txt): Instance of an AI application in Atlan.
- [AIModel](https://docs.atlan.com/llms/platform/types/ai-model/llms.txt): Instance of an AI model in Atlan.
- [AIModelVersion](https://docs.atlan.com/llms/platform/types/ai-model-version/llms.txt): Base class for all AIModelVersion types.
- [SageMaker](https://docs.atlan.com/llms/platform/types/sage-maker/llms.txt): Base class for AWS SageMaker assets.
- [SageMakerFeature](https://docs.atlan.com/llms/platform/types/sage-maker-feature/llms.txt): Instance of a SageMaker Feature in Atlan. Represents an individual feature within a Feature Group, including its data type and metadata.
- [SageMakerFeatureGroup](https://docs.atlan.com/llms/platform/types/sage-maker-feature-group/llms.txt): Instance of a SageMaker Feature Store Feature Group in Atlan. Represents a collection of related features that can be used for machine learning training and inference.
- [SageMakerModel](https://docs.atlan.com/llms/platform/types/sage-maker-model/llms.txt): Instance of a SageMaker ML Model in Atlan. Represents trained machine learning models that can be deployed for inference.
- [SageMakerModelDeployment](https://docs.atlan.com/llms/platform/types/sage-maker-model-deployment/llms.txt): Instance of a SageMaker Endpoint in Atlan. Represents deployed models that can serve real-time inference requests.
- [SageMakerModelGroup](https://docs.atlan.com/llms/platform/types/sage-maker-model-group/llms.txt): Instance of a SageMaker Model Package Group in Atlan. Represents a collection of versioned models that can be organized and managed together.
- [Anaplan](https://docs.atlan.com/llms/platform/types/anaplan/llms.txt): Base class for all Anaplan types.
- [AnaplanApp](https://docs.atlan.com/llms/platform/types/anaplan-app/llms.txt): Instances of an AnaplanApp in Atlan.
- [AnaplanDimension](https://docs.atlan.com/llms/platform/types/anaplan-dimension/llms.txt): Instances of an AnaplanDimension in Atlan.
- [AnaplanLineItem](https://docs.atlan.com/llms/platform/types/anaplan-line-item/llms.txt): Instances of an AnaplanLineItem in Atlan.
- [AnaplanList](https://docs.atlan.com/llms/platform/types/anaplan-list/llms.txt): Instances of an AnaplanList in Atlan.
- [AnaplanModel](https://docs.atlan.com/llms/platform/types/anaplan-model/llms.txt): Instances of an AnaplanModel in Atlan.
- [AnaplanModule](https://docs.atlan.com/llms/platform/types/anaplan-module/llms.txt): Instances of an AnaplanModule in Atlan.
- [AnaplanPage](https://docs.atlan.com/llms/platform/types/anaplan-page/llms.txt): Instances of an AnaplanPage in Atlan.
- [AnaplanSystemDimension](https://docs.atlan.com/llms/platform/types/anaplan-system-dimension/llms.txt): Instances of an AnaplanSystemDimension in Atlan.
- [AnaplanView](https://docs.atlan.com/llms/platform/types/anaplan-view/llms.txt): Instances of an AnaplanView in Atlan.
- [AnaplanWorkspace](https://docs.atlan.com/llms/platform/types/anaplan-workspace/llms.txt): Instances of an AnaplanWorkspace in Atlan.
- [Cognos](https://docs.atlan.com/llms/platform/types/cognos/llms.txt): Base class for Cognos assets.
- [CognosColumn](https://docs.atlan.com/llms/platform/types/cognos-column/llms.txt): Instance of a Cognos column in Atlan.
- [CognosDashboard](https://docs.atlan.com/llms/platform/types/cognos-dashboard/llms.txt): Instance of a Cognos Dashboard in Atlan.
- [CognosDataset](https://docs.atlan.com/llms/platform/types/cognos-dataset/llms.txt): Instance of a Cognos dataset in Atlan.
- [CognosDatasource](https://docs.atlan.com/llms/platform/types/cognos-datasource/llms.txt): Instance of a Cognos datasource in Atlan.
- [CognosExploration](https://docs.atlan.com/llms/platform/types/cognos-exploration/llms.txt): Instance of a Cognos Exploration in Atlan.
- [CognosFile](https://docs.atlan.com/llms/platform/types/cognos-file/llms.txt): Instance of a Cognos file in Atlan.
- [CognosFolder](https://docs.atlan.com/llms/platform/types/cognos-folder/llms.txt): Instance of a Cognos folder in Atlan.
- [CognosModule](https://docs.atlan.com/llms/platform/types/cognos-module/llms.txt): Instance of a Cognos module in Atlan.
- [CognosPackage](https://docs.atlan.com/llms/platform/types/cognos-package/llms.txt): Instance of a Cognos Package in Atlan.
- [CognosReport](https://docs.atlan.com/llms/platform/types/cognos-report/llms.txt): Instance of a Cognos report in Atlan.
- [DataStudio](https://docs.atlan.com/llms/platform/types/data-studio/llms.txt): Base class for Google Data Studio assets.
- [DataStudioAsset](https://docs.atlan.com/llms/platform/types/data-studio-asset/llms.txt): Instance of a Google Data Studio asset in Atlan.
- [Domo](https://docs.atlan.com/llms/platform/types/domo/llms.txt): Base class for Domo assets.
- [DomoCard](https://docs.atlan.com/llms/platform/types/domo-card/llms.txt): Instance of a Domo Card in Atlan.
- [DomoDashboard](https://docs.atlan.com/llms/platform/types/domo-dashboard/llms.txt): Instance of a Domo Dashboard in Atlan.
- [DomoDataset](https://docs.atlan.com/llms/platform/types/domo-dataset/llms.txt): Instance of a Domo Dataset in Atlan.
- [DomoDatasetColumn](https://docs.atlan.com/llms/platform/types/domo-dataset-column/llms.txt): Instance of a Domo Dataset Column in Atlan.
- [Fabric](https://docs.atlan.com/llms/platform/types/fabric/llms.txt): Base class for all Fabric types.
- [FabricActivity](https://docs.atlan.com/llms/platform/types/fabric-activity/llms.txt): Instance of a Microsoft Fabric activity in Atlan.
- [FabricDashboard](https://docs.atlan.com/llms/platform/types/fabric-dashboard/llms.txt): Instance of a Microsoft Fabric dashboard in Atlan.
- [FabricDataPipeline](https://docs.atlan.com/llms/platform/types/fabric-data-pipeline/llms.txt): Instance of a Microsoft Fabric data pipeline in Atlan.
- [FabricDataflow](https://docs.atlan.com/llms/platform/types/fabric-dataflow/llms.txt): Instance of a Microsoft Fabric dataflow in Atlan.
- [FabricDataflowEntityColumn](https://docs.atlan.com/llms/platform/types/fabric-dataflow-entity-column/llms.txt): Instance of a Microsoft Fabric dataflow entity column in Atlan.
- [FabricPage](https://docs.atlan.com/llms/platform/types/fabric-page/llms.txt): Instance of a Microsoft Fabric page in Atlan.
- [FabricReport](https://docs.atlan.com/llms/platform/types/fabric-report/llms.txt): Instance of a Microsoft Fabric report in Atlan.
- [FabricSemanticModel](https://docs.atlan.com/llms/platform/types/fabric-semantic-model/llms.txt): Instance of a Microsoft Fabric semantic model in Atlan.
- [FabricSemanticModelTable](https://docs.atlan.com/llms/platform/types/fabric-semantic-model-table/llms.txt): Instance of a Microsoft Fabric semantic model table in Atlan.
- [FabricSemanticModelTableColumn](https://docs.atlan.com/llms/platform/types/fabric-semantic-model-table-column/llms.txt): Instance of a Microsoft Fabric semantic model table column in Atlan.
- [FabricVisual](https://docs.atlan.com/llms/platform/types/fabric-visual/llms.txt): Instance of a Microsoft Fabric visual in Atlan.
- [FabricWorkspace](https://docs.atlan.com/llms/platform/types/fabric-workspace/llms.txt): Instance of a Microsoft Fabric workspace in Atlan.
- [Looker](https://docs.atlan.com/llms/platform/types/looker/llms.txt): Base class for Looker assets.
- [LookerDashboard](https://docs.atlan.com/llms/platform/types/looker-dashboard/llms.txt): Instance of a Looker dashboard in Atlan.
- [LookerExplore](https://docs.atlan.com/llms/platform/types/looker-explore/llms.txt): Instance of a Looker Explore in Atlan. Explores are views that users can query in Looker.
- [LookerField](https://docs.atlan.com/llms/platform/types/looker-field/llms.txt): Instance of a Looker field in Atlan.
- [LookerFolder](https://docs.atlan.com/llms/platform/types/looker-folder/llms.txt): Instance of a Looker folder in Atlan. Folders in Looker are used to organize content in a hierarchical structure and granting access.
- [LookerLook](https://docs.atlan.com/llms/platform/types/looker-look/llms.txt): Instance of a Looker Look in Atlan. Looks are saved visualizations used to understand and analyze data. They can be shared and reused in multiple dashboards.
- [LookerModel](https://docs.atlan.com/llms/platform/types/looker-model/llms.txt): Instance of a Looker model in Atlan. Models combine Explores and dashboards.
- [LookerProject](https://docs.atlan.com/llms/platform/types/looker-project/llms.txt): Instance of a Looker project in Atlan. Projects are a collection of files that describe the objects, connections and user interface elements in Looker.
- [LookerQuery](https://docs.atlan.com/llms/platform/types/looker-query/llms.txt): Deprecated.
- [LookerTile](https://docs.atlan.com/llms/platform/types/looker-tile/llms.txt): Instance of a Looker tile in Atlan.
- [LookerView](https://docs.atlan.com/llms/platform/types/looker-view/llms.txt): Instance of a Looker view in Atlan. Views represent tables of data in Looker, whether the table is database-native or created using Looker's derived table functionality.
- [Metabase](https://docs.atlan.com/llms/platform/types/metabase/llms.txt): Base class for Metabase assets.
- [MetabaseCollection](https://docs.atlan.com/llms/platform/types/metabase-collection/llms.txt): Instance of a Metabase collection in Atlan.
- [MetabaseDashboard](https://docs.atlan.com/llms/platform/types/metabase-dashboard/llms.txt): Instance of a Metabase dashboard in Atlan.
- [MetabaseQuestion](https://docs.atlan.com/llms/platform/types/metabase-question/llms.txt): Instance of a Metabase question in Atlan.
- [MicroStrategy](https://docs.atlan.com/llms/platform/types/micro-strategy/llms.txt): Base class for MicroStrategy assets.
- [MicroStrategyAttribute](https://docs.atlan.com/llms/platform/types/micro-strategy-attribute/llms.txt): Instance of a MicroStrategy attribute in Atlan.
- [MicroStrategyColumn](https://docs.atlan.com/llms/platform/types/micro-strategy-column/llms.txt): Base class for MicroStrategy column assets in Atlan.
- [MicroStrategyCube](https://docs.atlan.com/llms/platform/types/micro-strategy-cube/llms.txt): Instance of a MicroStrategy cube in Atlan.
- [MicroStrategyDocument](https://docs.atlan.com/llms/platform/types/micro-strategy-document/llms.txt): Instance of a MicroStrategy document in Atlan.
- [MicroStrategyDossier](https://docs.atlan.com/llms/platform/types/micro-strategy-dossier/llms.txt): Instance of a MicroStrategy dossier in Atlan.
- [MicroStrategyFact](https://docs.atlan.com/llms/platform/types/micro-strategy-fact/llms.txt): Instance of a MicroStrategy fact in Atlan.
- [MicroStrategyMetric](https://docs.atlan.com/llms/platform/types/micro-strategy-metric/llms.txt): Instance of a MicroStrategy metric in Atlan.
- [MicroStrategyProject](https://docs.atlan.com/llms/platform/types/micro-strategy-project/llms.txt): Instance of a MicroStrategy project in Atlan.
- [MicroStrategyReport](https://docs.atlan.com/llms/platform/types/micro-strategy-report/llms.txt): Instance of a MicroStrategy report in Atlan.
- [MicroStrategyVisualization](https://docs.atlan.com/llms/platform/types/micro-strategy-visualization/llms.txt): Instance of a MicroStrategy visualization in Atlan.
- [Mode](https://docs.atlan.com/llms/platform/types/mode/llms.txt): Base class for Mode assets.
- [ModeChart](https://docs.atlan.com/llms/platform/types/mode-chart/llms.txt): Instance of a Mode chart in Atlan.
- [ModeCollection](https://docs.atlan.com/llms/platform/types/mode-collection/llms.txt): Instance of a Mode collection in Atlan.
- [ModeQuery](https://docs.atlan.com/llms/platform/types/mode-query/llms.txt): Instance of a Mode query in Atlan.
- [ModeReport](https://docs.atlan.com/llms/platform/types/mode-report/llms.txt): Instance of a Mode report in Atlan.
- [ModeWorkspace](https://docs.atlan.com/llms/platform/types/mode-workspace/llms.txt): Instance of a Mode workspace in Atlan.
- [PowerBI](https://docs.atlan.com/llms/platform/types/power-bi/llms.txt): Base class for Power BI assets.
- [PowerBIApp](https://docs.atlan.com/llms/platform/types/power-bi-app/llms.txt): Instance of a Power BI App in Atlan.
- [PowerBIColumn](https://docs.atlan.com/llms/platform/types/power-bi-column/llms.txt): Instance of a Power BI column in Atlan.
- [PowerBIDashboard](https://docs.atlan.com/llms/platform/types/power-bi-dashboard/llms.txt): Instance of a Power BI dashboard in Atlan. Dashboards are a single page, often called a canvas, that tell a story through visualization.
- [PowerBIDataflow](https://docs.atlan.com/llms/platform/types/power-bi-dataflow/llms.txt): Instance of a Power BI dataflow in Atlan. Dataflows are reusable transformation logic that can be shared by many datasets and reports inside Power BI.
- [PowerBIDataflowEntityColumn](https://docs.atlan.com/llms/platform/types/power-bi-dataflow-entity-column/llms.txt): Instance of a Power BI Dataflow Entity Column in Atlan. Dataflows are reusable transformation logic that can be shared by many datasets and reports inside Power BI. Each Dataflow has an Entity which represents an instance of SQL data from source, that has columns associated with it.
- [PowerBIDataset](https://docs.atlan.com/llms/platform/types/power-bi-dataset/llms.txt): Instance of a Power BI dataset in Atlan.
- [PowerBIDatasource](https://docs.atlan.com/llms/platform/types/power-bi-datasource/llms.txt): Instance of a Power BI datasource in Atlan.
- [PowerBIMeasure](https://docs.atlan.com/llms/platform/types/power-bi-measure/llms.txt): Instance of a Power BI measure in Atlan. Measures define calculations in a DAX model, which helps calculate values based on each row.
- [PowerBIPage](https://docs.atlan.com/llms/platform/types/power-bi-page/llms.txt): Instance of a Power BI page in Atlan. Pages organize and subdivide a report in Power BI.
- [PowerBIReport](https://docs.atlan.com/llms/platform/types/power-bi-report/llms.txt): Instance of a Power BI report in Atlan.
- [PowerBITable](https://docs.atlan.com/llms/platform/types/power-bi-table/llms.txt): Instance of a Power BI table in Atlan.
- [PowerBITile](https://docs.atlan.com/llms/platform/types/power-bi-tile/llms.txt): Instance of a Power BI tile in Atlan. Tiles are snapshots of data, pinned to a dashboard.
- [PowerBIWorkspace](https://docs.atlan.com/llms/platform/types/power-bi-workspace/llms.txt): Instance of a Power BI workspace in Atlan. Workspaces contain dashboards, reports, workbooks, datasets and dataflows.
- [Preset](https://docs.atlan.com/llms/platform/types/preset/llms.txt): Base class for Preset assets.
- [PresetChart](https://docs.atlan.com/llms/platform/types/preset-chart/llms.txt): Instance of a Preset chart in Atlan.
- [PresetDashboard](https://docs.atlan.com/llms/platform/types/preset-dashboard/llms.txt): Instance of a Preset dashboard in Atlan.
- [PresetDataset](https://docs.atlan.com/llms/platform/types/preset-dataset/llms.txt): Instance of a Preset dataset in Atlan.
- [PresetWorkspace](https://docs.atlan.com/llms/platform/types/preset-workspace/llms.txt): Instance of a Preset workspace in Atlan.
- [Qlik](https://docs.atlan.com/llms/platform/types/qlik/llms.txt): Base class for Qlik assets.
- [QlikApp](https://docs.atlan.com/llms/platform/types/qlik-app/llms.txt): Instance of a Qlik app in Atlan.
- [QlikChart](https://docs.atlan.com/llms/platform/types/qlik-chart/llms.txt): Instance of a Qlik chart in Atlan.
- [QlikColumn](https://docs.atlan.com/llms/platform/types/qlik-column/llms.txt): Instance of a Qlik Columns in Atlan.
- [QlikDataset](https://docs.atlan.com/llms/platform/types/qlik-dataset/llms.txt): Instance of a Qlik dataset, datafile, datastore or dataasset in Atlan.
- [QlikSheet](https://docs.atlan.com/llms/platform/types/qlik-sheet/llms.txt): Instance of a Qlik sheet in Atlan.
- [QlikSpace](https://docs.atlan.com/llms/platform/types/qlik-space/llms.txt): Instance of a Qlik space in Atlan.
- [QuickSight](https://docs.atlan.com/llms/platform/types/quick-sight/llms.txt): Base class for QuickSight assets.
- [QuickSightAnalysis](https://docs.atlan.com/llms/platform/types/quick-sight-analysis/llms.txt): Instance of a QuickSight analysis in Atlan. In QuickSight, you analyze and visualize your data in analyses, which can be published as a dashboard to share with others.
- [QuickSightAnalysisVisual](https://docs.atlan.com/llms/platform/types/quick-sight-analysis-visual/llms.txt): Instance of a QuickSight analysis visual in Atlan. These represent individual visuals inside an analysis.
- [QuickSightDashboard](https://docs.atlan.com/llms/platform/types/quick-sight-dashboard/llms.txt): Instance of a QuickSight dashboard in Atlan. These are reports in QuickSight, created from analyses.
- [QuickSightDashboardVisual](https://docs.atlan.com/llms/platform/types/quick-sight-dashboard-visual/llms.txt): Instance of a QuickSight dashboard visual in Atlan. These represent individual visuals inside a dashboard.
- [QuickSightDataset](https://docs.atlan.com/llms/platform/types/quick-sight-dataset/llms.txt): Instance of a QuickSight dataset in Atlan. These are an internal data model built to be used by analysis. In a dataset, data can be pulled from different sources, joined, filtered, and columns translated to more business-friendly names when preparing the data for visualizing in the analysis layer.
- [QuickSightDatasetField](https://docs.atlan.com/llms/platform/types/quick-sight-dataset-field/llms.txt): Instance of a QuickSight dataset field in Atlan.
- [QuickSightFolder](https://docs.atlan.com/llms/platform/types/quick-sight-folder/llms.txt): Instance of a QuickSight folder in Atlan.
- [Redash](https://docs.atlan.com/llms/platform/types/redash/llms.txt): Base class for Redash assets.
- [RedashDashboard](https://docs.atlan.com/llms/platform/types/redash-dashboard/llms.txt): Instance of a Redash dashboard in Atlan. These are collections of widgets.
- [RedashQuery](https://docs.atlan.com/llms/platform/types/redash-query/llms.txt): Instance of a Redash query in Atlan.
- [RedashVisualization](https://docs.atlan.com/llms/platform/types/redash-visualization/llms.txt): Instance of a Redash visualization in Atlan.
- [Sigma](https://docs.atlan.com/llms/platform/types/sigma/llms.txt): Base class for Sigma assets.
- [SigmaDataElement](https://docs.atlan.com/llms/platform/types/sigma-data-element/llms.txt): Instance of a Sigma data element in Atlan.
- [SigmaDataElementField](https://docs.atlan.com/llms/platform/types/sigma-data-element-field/llms.txt): Instance of a Sigma data element field in Atlan.
- [SigmaDataModel](https://docs.atlan.com/llms/platform/types/sigma-data-model/llms.txt): Instance of a Sigma data model in Atlan. A data model is a governed semantic layer that abstracts one or more warehouse tables / datasets / other data models, exposes columns with formulas, and is consumed by one or more Sigma workbooks.
- [SigmaDataModelColumn](https://docs.atlan.com/llms/platform/types/sigma-data-model-column/llms.txt): Instance of a Sigma data model column in Atlan. A data model column is a typed, formula-defined column inside a Sigma data model element.
- [SigmaDataset](https://docs.atlan.com/llms/platform/types/sigma-dataset/llms.txt): Instance of a Sigma dataset in Atlan.
- [SigmaDatasetColumn](https://docs.atlan.com/llms/platform/types/sigma-dataset-column/llms.txt): Instance of a Sigma dataset column in Atlan.
- [SigmaPage](https://docs.atlan.com/llms/platform/types/sigma-page/llms.txt): Instance of a Sigma page in Atlan.
- [SigmaWorkbook](https://docs.atlan.com/llms/platform/types/sigma-workbook/llms.txt): Instance of a Sigma workbook in Atlan.
- [Sisense](https://docs.atlan.com/llms/platform/types/sisense/llms.txt): Base class for Sisense assets.
- [SisenseDashboard](https://docs.atlan.com/llms/platform/types/sisense-dashboard/llms.txt): Instance of a Sisense dashboard in Atlan. These allow you to place multiple widgets on a single page.
- [SisenseDatamodel](https://docs.atlan.com/llms/platform/types/sisense-datamodel/llms.txt): Instance of a Sisense datamodel in Atlan. These group tables together that you can use to build dashboards.
- [SisenseDatamodelTable](https://docs.atlan.com/llms/platform/types/sisense-datamodel-table/llms.txt): Instance of a Sisense datamodel table in Atlan.
- [SisenseFolder](https://docs.atlan.com/llms/platform/types/sisense-folder/llms.txt): Instance of a Sisense folder in Atlan.
- [SisenseWidget](https://docs.atlan.com/llms/platform/types/sisense-widget/llms.txt): Instance of a Sisense widget in Atlan.
- [SSRS](https://docs.atlan.com/llms/platform/types/ssrs/llms.txt): Base class for SQL Server Reporting Services assets.
- [SSRSDataSet](https://docs.atlan.com/llms/platform/types/ssrs-data-set/llms.txt): Instance of a data set within an SSRS report in Atlan.
- [SSRSField](https://docs.atlan.com/llms/platform/types/ssrs-field/llms.txt): Instance of a field within an SSRS data set in Atlan.
- [SSRSFolder](https://docs.atlan.com/llms/platform/types/ssrs-folder/llms.txt): Instance of an SSRS folder in Atlan.
- [SSRSReport](https://docs.atlan.com/llms/platform/types/ssrs-report/llms.txt): Instance of an SSRS report in Atlan.
- [Superset](https://docs.atlan.com/llms/platform/types/superset/llms.txt): Base class for all Superset types.
- [SupersetChart](https://docs.atlan.com/llms/platform/types/superset-chart/llms.txt): Instances of Superset Chart in Atlan.
- [SupersetDashboard](https://docs.atlan.com/llms/platform/types/superset-dashboard/llms.txt): Instances of SupersetDashboard in Atlan.
- [SupersetDataset](https://docs.atlan.com/llms/platform/types/superset-dataset/llms.txt): Instances of SupersetDataset in Atlan.
- [Tableau](https://docs.atlan.com/llms/platform/types/tableau/llms.txt): Base class for Tableau assets.
- [TableauCalculatedField](https://docs.atlan.com/llms/platform/types/tableau-calculated-field/llms.txt): Instance of a Tableau calculated field in Atlan. These are created by combining two or more fields using a formula, and can be created at datasource or worksheet level.
- [TableauDashboard](https://docs.atlan.com/llms/platform/types/tableau-dashboard/llms.txt): Instance of a Tableau dashboard in Atlan. These are collections of several views, letting you compare a variety of data simultaneously.
- [TableauDashboardField](https://docs.atlan.com/llms/platform/types/tableau-dashboard-field/llms.txt): Instance of a Tableau dashboard field in Atlan.
- [TableauDatasource](https://docs.atlan.com/llms/platform/types/tableau-datasource/llms.txt): Instance of a Tableau datasource in Atlan. These include both published and embedded datasources, and are the link between source data and Tableau.
- [TableauDatasourceField](https://docs.atlan.com/llms/platform/types/tableau-datasource-field/llms.txt): Instance of a Tableau datasource field in Atlan.
- [TableauFlow](https://docs.atlan.com/llms/platform/types/tableau-flow/llms.txt): Instance of a Tableau flow in Atlan.
- [TableauMetric](https://docs.atlan.com/llms/platform/types/tableau-metric/llms.txt): Instance of a Tableau metric in Atlan.
- [TableauProject](https://docs.atlan.com/llms/platform/types/tableau-project/llms.txt): Instance of a Tableau project in Atlan. These are used to organize other assets and for access control, and can be nested.
- [TableauSite](https://docs.atlan.com/llms/platform/types/tableau-site/llms.txt): Instance of a Tableau site in Atlan.
- [TableauWorkbook](https://docs.atlan.com/llms/platform/types/tableau-workbook/llms.txt): Instance of a Tableau workbook in Atlan. These contain one or more worksheets, datasources or dashboards.
- [TableauWorksheet](https://docs.atlan.com/llms/platform/types/tableau-worksheet/llms.txt): Instance of a Tableau worksheet in Atlan.
- [TableauWorksheetField](https://docs.atlan.com/llms/platform/types/tableau-worksheet-field/llms.txt): Instance of a Tableau worksheet field in Atlan.
- [Thoughtspot](https://docs.atlan.com/llms/platform/types/thoughtspot/llms.txt): Base class for Thoughtspot assets.
- [ThoughtspotAnswer](https://docs.atlan.com/llms/platform/types/thoughtspot-answer/llms.txt): Instance of a Thoughtspot answer in Atlan.
- [ThoughtspotColumn](https://docs.atlan.com/llms/platform/types/thoughtspot-column/llms.txt): Instance of a Thoughtspot column in Atlan.
- [ThoughtspotDashlet](https://docs.atlan.com/llms/platform/types/thoughtspot-dashlet/llms.txt): Instance of a Thoughtspot dashlet in Atlan.
- [ThoughtspotLiveboard](https://docs.atlan.com/llms/platform/types/thoughtspot-liveboard/llms.txt): Instance of a Thoughtspot liveboard in Atlan.
- [ThoughtspotTable](https://docs.atlan.com/llms/platform/types/thoughtspot-table/llms.txt): Instance of a Thoughtspot table in Atlan.
- [ThoughtspotView](https://docs.atlan.com/llms/platform/types/thoughtspot-view/llms.txt): Instance of a Thoughtspot view in Atlan.
- [ThoughtspotWorksheet](https://docs.atlan.com/llms/platform/types/thoughtspot-worksheet/llms.txt): Instance of a Thoughtspot worksheet in Atlan.
- [Agentic](https://docs.atlan.com/llms/platform/types/agentic/llms.txt): Base class for agentic assets in Atlan. Extends Catalog to participate in lineage (Process inputs/outputs require Catalog types). Agentic assets include agents, skills, skill artifacts, context repositories, knowledge files, and other building blocks consumed by AI agents.
- [AI](https://docs.atlan.com/llms/platform/types/ai/llms.txt): Base class for AI assets.
- [API](https://docs.atlan.com/llms/platform/types/api/llms.txt): Base class for API assets.
- [APIField](https://docs.atlan.com/llms/platform/types/api-field/llms.txt): Instances of APIField in Atlan.
- [APIObject](https://docs.atlan.com/llms/platform/types/api-object/llms.txt): Instances of APIObject in Atlan.
- [APIPath](https://docs.atlan.com/llms/platform/types/api-path/llms.txt): Instance of an API path that could contain one or more endpoints in Atlan.
- [APIQuery](https://docs.atlan.com/llms/platform/types/api-query/llms.txt): Instances of APIQuery in Atlan.
- [APISpec](https://docs.atlan.com/llms/platform/types/api-spec/llms.txt): Instance of an API specification in Atlan.
- [App](https://docs.atlan.com/llms/platform/types/app/llms.txt): Base class for all App types.
- [AppWorkflowRun](https://docs.atlan.com/llms/platform/types/app-workflow-run/llms.txt): Represents an execution instance of a workflow run.
- [Application](https://docs.atlan.com/llms/platform/types/application/llms.txt): Instances of Application in Atlan.
- [ApplicationField](https://docs.atlan.com/llms/platform/types/application-field/llms.txt): Instances of ApplicationField in Atlan.
- [AssetGrouping](https://docs.atlan.com/llms/platform/types/asset-grouping/llms.txt): Base class for asset grouping entities.
- [AssetGroupingCollection](https://docs.atlan.com/llms/platform/types/asset-grouping-collection/llms.txt): User-created collection of assets derived from a grouping strategy.
- [AssetGroupingStrategy](https://docs.atlan.com/llms/platform/types/asset-grouping-strategy/llms.txt): Reusable strategy for identifying a dynamic set of assets.
- [AtlanApp](https://docs.atlan.com/llms/platform/types/atlan-app/llms.txt): Base class for all tenant atlan apps types.
- [AtlanAppDeployment](https://docs.atlan.com/llms/platform/types/atlan-app-deployment/llms.txt): Tracks pending or completed deployment requests for an atlan application.
- [AtlanAppInstalled](https://docs.atlan.com/llms/platform/types/atlan-app-installed/llms.txt): Represents the currently installed version of an atlan application for a tenant.
- [AtlanAppTool](https://docs.atlan.com/llms/platform/types/atlan-app-tool/llms.txt): Instance of a tool defined in an Atlan application.
- [AtlanAppWorkflow](https://docs.atlan.com/llms/platform/types/atlan-app-workflow/llms.txt): Instance of a workflow in an Atlan application.
- [Cube](https://docs.atlan.com/llms/platform/types/cube/llms.txt): Instance of a Cube in Atlan.
- [CubeDimension](https://docs.atlan.com/llms/platform/types/cube-dimension/llms.txt): Instance of a cube dimension in Atlan.
- [CubeField](https://docs.atlan.com/llms/platform/types/cube-field/llms.txt): Instance of a cube field in Atlan.
- [CubeHierarchy](https://docs.atlan.com/llms/platform/types/cube-hierarchy/llms.txt): Instance of a cube hierarchy in Atlan.
- [Custom](https://docs.atlan.com/llms/platform/types/custom/llms.txt): Base class for all Custom types.
- [CustomEntity](https://docs.atlan.com/llms/platform/types/custom-entity/llms.txt): Instances of CustomEntity in Atlan.
- [DataContract](https://docs.atlan.com/llms/platform/types/data-contract/llms.txt): Data contract for an asset.
- [DataDomain](https://docs.atlan.com/llms/platform/types/data-domain/llms.txt): Instance of a data domain in Atlan.
- [DataMesh](https://docs.atlan.com/llms/platform/types/data-mesh/llms.txt): Base class for data mesh assets.
- [DataMeshDataset](https://docs.atlan.com/llms/platform/types/data-mesh-dataset/llms.txt): Instance of a dataset in Atlan. A dataset acts as a logical bridge between Data Products and physical Data Assets (Tables/Files), enabling better organization, governance, and discovery.
- [DataProduct](https://docs.atlan.com/llms/platform/types/data-product/llms.txt): Instance of a data product in Atlan.
- [DataQuality](https://docs.atlan.com/llms/platform/types/data-quality/llms.txt): Base class for data quality assets.
- [File](https://docs.atlan.com/llms/platform/types/file/llms.txt): Instance of a static file in Atlan.
- [Link](https://docs.atlan.com/llms/platform/types/link/llms.txt): Instance of a link in Atlan.
- [Model](https://docs.atlan.com/llms/platform/types/model/llms.txt): Assets used to model data and information.
- [ModelAttribute](https://docs.atlan.com/llms/platform/types/model-attribute/llms.txt): Instance of an attribute within a data model entity in Atlan.
- [ModelAttributeAssociation](https://docs.atlan.com/llms/platform/types/model-attribute-association/llms.txt): Instance of a data attribute association in Atlan.
- [ModelDataModel](https://docs.atlan.com/llms/platform/types/model-data-model/llms.txt): Instance of a data model in Atlan.
- [ModelEntity](https://docs.atlan.com/llms/platform/types/model-entity/llms.txt): Instance of an entity within a version of a data model in Atlan.
- [ModelEntityAssociation](https://docs.atlan.com/llms/platform/types/model-entity-association/llms.txt): Instance of a data entity association in Atlan.
- [ModelVersion](https://docs.atlan.com/llms/platform/types/model-version/llms.txt): Instance of a version of a data model in Atlan.
- [Notebook](https://docs.atlan.com/llms/platform/types/notebook/llms.txt): Base class for all notebook assets.
- [Partial](https://docs.atlan.com/llms/platform/types/partial/llms.txt): Base class representing assets that cannot be resolved to a pre-existing asset.
- [PartialField](https://docs.atlan.com/llms/platform/types/partial-field/llms.txt): Field-level assets that could not be resolved to a pre-existing asset.
- [PartialObject](https://docs.atlan.com/llms/platform/types/partial-object/llms.txt): Object-level assets that could not be resolved to a pre-existing asset.
- [Readme](https://docs.atlan.com/llms/platform/types/readme/llms.txt): Instance of a README in Atlan.
- [ReadmeTemplate](https://docs.atlan.com/llms/platform/types/readme-template/llms.txt): Instance of a README template in Atlan.
- [Resource](https://docs.atlan.com/llms/platform/types/resource/llms.txt): Base class for resources.
- [SAP](https://docs.atlan.com/llms/platform/types/sap/llms.txt): Base class for SAP assets.
- [SAPColumnProcess](https://docs.atlan.com/llms/platform/types/sap-column-process/llms.txt): Column-level lineage process for SAP. Subtype of ColumnProcess used by all SAP connectors so SAP-specific column-lineage attributes stay scoped to the SAP namespace.
- [SapDatasphereReplicationFlow](https://docs.atlan.com/llms/platform/types/sap-datasphere-replication-flow/llms.txt): Instance of a SAP Datasphere replication flow in Atlan. A replication flow is a trigger that moves data from sources outside Datasphere (such as S/4HANA, SAP ECC, SAP BW, or S3) into tables created within a Datasphere space, which is modelled as a SQL Schema in Atlan.
- [SapErpAbapProgram](https://docs.atlan.com/llms/platform/types/sap-erp-abap-program/llms.txt): Instance of a SAP ABAP Program in Atlan.
- [SapErpCdsView](https://docs.atlan.com/llms/platform/types/sap-erp-cds-view/llms.txt): Instance of a SAP CDS View in Atlan.
- [SapErpColumn](https://docs.atlan.com/llms/platform/types/sap-erp-column/llms.txt): Instance of a SAP Column in Atlan.
- [SapErpComponent](https://docs.atlan.com/llms/platform/types/sap-erp-component/llms.txt): Instance of a SAP Component in Atlan.
- [SapErpFioriApp](https://docs.atlan.com/llms/platform/types/sap-erp-fiori-app/llms.txt): Instance of a SAP ERP Fiori App in Atlan.
- [SapErpFunctionModule](https://docs.atlan.com/llms/platform/types/sap-erp-function-module/llms.txt): Instance of a SAP Function in Atlan.
- [SapErpTable](https://docs.atlan.com/llms/platform/types/sap-erp-table/llms.txt): Instance of a SAP table in Atlan.
- [SapErpTransactionCode](https://docs.atlan.com/llms/platform/types/sap-erp-transaction-code/llms.txt): Instance of a SAP Transaction Code in Atlan.
- [SapErpView](https://docs.atlan.com/llms/platform/types/sap-erp-view/llms.txt): Instance of a SAP table in Atlan.
- [SAPProcess](https://docs.atlan.com/llms/platform/types/sap-process/llms.txt): Asset-level lineage process for SAP. Subtype of Process used by all SAP connectors so SAP-specific lineage attributes stay scoped to the SAP namespace.
- [SchemaRegistry](https://docs.atlan.com/llms/platform/types/schema-registry/llms.txt): Instance of a schema registry in Atlan.
- [SchemaRegistrySubject](https://docs.atlan.com/llms/platform/types/schema-registry-subject/llms.txt): Instance of a schema registry subject in Atlan.
- [SchemaRegistryVersion](https://docs.atlan.com/llms/platform/types/schema-registry-version/llms.txt): Instance of a specific version of a schema registry subject in Atlan.
- [Semantic](https://docs.atlan.com/llms/platform/types/semantic/llms.txt): Base class for semantic layer assets.
- [SemanticDimension](https://docs.atlan.com/llms/platform/types/semantic-dimension/llms.txt): Base class for semantic dimensions across different sources.
- [SemanticEntity](https://docs.atlan.com/llms/platform/types/semantic-entity/llms.txt): Base class for semantic entities/logical tables across different sources.
- [SemanticField](https://docs.atlan.com/llms/platform/types/semantic-field/llms.txt): Base class for semantic fields (measures, dimensions, entities) across different sources.
- [SemanticMeasure](https://docs.atlan.com/llms/platform/types/semantic-measure/llms.txt): Base class for semantic measures across different sources.
- [SemanticModel](https://docs.atlan.com/llms/platform/types/semantic-model/llms.txt): Base class for semantic models across different sources.
- [SourceTag](https://docs.atlan.com/llms/platform/types/source-tag/llms.txt): Instance of a source system-imported tag in Atlan.
- [SQL](https://docs.atlan.com/llms/platform/types/sql/llms.txt): Base class for SQL assets.
- [SqlInsight](https://docs.atlan.com/llms/platform/types/sql-insight/llms.txt): Base class for SQL insight assets derived from query traffic analysis.
- [SqlInsightBusinessQuestion](https://docs.atlan.com/llms/platform/types/sql-insight-business-question/llms.txt): A generalized business question pattern observed from real query traffic.
- [SqlInsightFilter](https://docs.atlan.com/llms/platform/types/sql-insight-filter/llms.txt): A column-level filtering observation from real query traffic.
- [SqlInsightJoin](https://docs.atlan.com/llms/platform/types/sql-insight-join/llms.txt): A directed join pattern observed between two SQL datasets from real query traffic.
- [Tag](https://docs.atlan.com/llms/platform/types/tag/llms.txt): Base class for all (source-specific) tag assets.
- [Unstructured](https://docs.atlan.com/llms/platform/types/unstructured/llms.txt): Base class for unstructured-data assets organised as containers, folders, and objects.
- [UnstructuredContainer](https://docs.atlan.com/llms/platform/types/unstructured-container/llms.txt): Top-level storage unit within an unstructured datasource — for example a SharePoint site, NAS share, or cloud storage bucket. Directly holds folders and may also hold objects at its root with no intermediate folder.
- [UnstructuredFolder](https://docs.atlan.com/llms/platform/types/unstructured-folder/llms.txt): Directory-style asset within an unstructured Container. Holds child folders and/or objects, and can itself nest under another folder at any depth.
- [UnstructuredObject](https://docs.atlan.com/llms/platform/types/unstructured-object/llms.txt): File-style asset within an unstructured datasource — for example a SharePoint document, NAS file, or cloud storage object. Sits either directly under a Container at the root, or nested under a Folder at any depth.
- [Spark](https://docs.atlan.com/llms/platform/types/spark/llms.txt): Base class for Spark assets
- [SparkJob](https://docs.atlan.com/llms/platform/types/spark-job/llms.txt): Instance of a Spark Job run in Atlan.
- [Anomalo](https://docs.atlan.com/llms/platform/types/anomalo/llms.txt): Base class for Anomalo assets.
- [AnomaloCheck](https://docs.atlan.com/llms/platform/types/anomalo-check/llms.txt): Instance of a Anomalo Check in Atlan.
- [DataQualityRule](https://docs.atlan.com/llms/platform/types/data-quality-rule/llms.txt): Class to define a rule for the given asset in Atlan.
- [DataQualityRuleTemplate](https://docs.atlan.com/llms/platform/types/data-quality-rule-template/llms.txt): Class for defining a rule template that are available to set against any asset.
- [MCIncident](https://docs.atlan.com/llms/platform/types/mc-incident/llms.txt): Instance of a Monte Carlo incident in Atlan.
- [MCMonitor](https://docs.atlan.com/llms/platform/types/mc-monitor/llms.txt): Instance of a Monte Carlo monitor in Atlan.
- [Metric](https://docs.atlan.com/llms/platform/types/metric/llms.txt): Base class for data quality metrics assets.
- [MonteCarlo](https://docs.atlan.com/llms/platform/types/monte-carlo/llms.txt): Base class for Monte Carlo assets.
- [Soda](https://docs.atlan.com/llms/platform/types/soda/llms.txt): Base class for Soda assets.
- [SodaCheck](https://docs.atlan.com/llms/platform/types/soda-check/llms.txt): Instance of a Soda check in Atlan.
- [AzureServiceBus](https://docs.atlan.com/llms/platform/types/azure-service-bus/llms.txt): Base class for all AzureServiceBus types.
- [AzureServiceBusNamespace](https://docs.atlan.com/llms/platform/types/azure-service-bus-namespace/llms.txt): Instances of AzureServiceBusNamespace in Atlan.
- [AzureServiceBusSchema](https://docs.atlan.com/llms/platform/types/azure-service-bus-schema/llms.txt): Instances of AzureServiceBusSchema in Atlan.
- [AzureServiceBusTopic](https://docs.atlan.com/llms/platform/types/azure-service-bus-topic/llms.txt): Instances of AzureServiceBusField in Atlan.
- [Kafka](https://docs.atlan.com/llms/platform/types/kafka/llms.txt): Base class for Kafka assets.
- [KafkaCluster](https://docs.atlan.com/llms/platform/types/kafka-cluster/llms.txt): Instance of a Kafka cluster in Atlan.
- [KafkaConsumerGroup](https://docs.atlan.com/llms/platform/types/kafka-consumer-group/llms.txt): Instance of a Kafka ConsumerGroup in Atlan. These group consumers of topics in Kafka.
- [KafkaField](https://docs.atlan.com/llms/platform/types/kafka-field/llms.txt): Instance of a field within a Kafka topic schema in Atlan, enabling field-level lineage.
- [KafkaTopic](https://docs.atlan.com/llms/platform/types/kafka-topic/llms.txt): Instance of a Kafka Topic in Atlan.
- [Cassandra](https://docs.atlan.com/llms/platform/types/cassandra/llms.txt): Base class for all Cassandra types.
- [CassandraColumn](https://docs.atlan.com/llms/platform/types/cassandra-column/llms.txt): Instances of a CassandraColumn in Atlan.
- [CassandraIndex](https://docs.atlan.com/llms/platform/types/cassandra-index/llms.txt): Instances of a CassandraIndex in Atlan.
- [CassandraKeyspace](https://docs.atlan.com/llms/platform/types/cassandra-keyspace/llms.txt): Instances of a CassandraKeyspace in Atlan.
- [CassandraTable](https://docs.atlan.com/llms/platform/types/cassandra-table/llms.txt): Instances of a CassandraTable in Atlan.
- [CassandraView](https://docs.atlan.com/llms/platform/types/cassandra-view/llms.txt): Instances of an Module in Atlan.
- [CosmosMongoDB](https://docs.atlan.com/llms/platform/types/cosmos-mongo-db/llms.txt): Base class for Cosmos MongoDB assets.
- [CosmosMongoDBAccount](https://docs.atlan.com/llms/platform/types/cosmos-mongo-db-account/llms.txt): Instance of a Cosmos MongoDB account in Atlan.
- [CosmosMongoDBCollection](https://docs.atlan.com/llms/platform/types/cosmos-mongo-db-collection/llms.txt): Instance of a Cosmos MongoDB collection in Atlan.
- [CosmosMongoDBDatabase](https://docs.atlan.com/llms/platform/types/cosmos-mongo-db-database/llms.txt): Instance of a Cosmos MongoDB database in Atlan.
- [DocumentDB](https://docs.atlan.com/llms/platform/types/document-db/llms.txt): Base class for all DocumentDB types.
- [DocumentDBCollection](https://docs.atlan.com/llms/platform/types/document-db-collection/llms.txt): Instance of a DocumentDBCollection in Atlan.
- [DocumentDBDatabase](https://docs.atlan.com/llms/platform/types/document-db-database/llms.txt): Instance of a DocumentDBDatabase in Atlan.
- [DynamoDB](https://docs.atlan.com/llms/platform/types/dynamo-db/llms.txt): Base class for DynamoDB assets in Atlan.
- [DynamoDBAttribute](https://docs.atlan.com/llms/platform/types/dynamo-db-attribute/llms.txt): Represents an attribute (column) in a DynamoDB table.
- [DynamoDBSecondaryIndex](https://docs.atlan.com/llms/platform/types/dynamo-db-secondary-index/llms.txt): Represents a DynamoDB secondary index asset in Atlan.
- [DynamoDBTable](https://docs.atlan.com/llms/platform/types/dynamo-db-table/llms.txt): Represents a DynamoDB table asset in Atlan.
- [MongoDB](https://docs.atlan.com/llms/platform/types/mongo-db/llms.txt): Base class for MongoDB assets.
- [MongoDBCollection](https://docs.atlan.com/llms/platform/types/mongo-db-collection/llms.txt): Instance of a MongoDB collection in Atlan.
- [MongoDBDatabase](https://docs.atlan.com/llms/platform/types/mongo-db-database/llms.txt): Instance of a MongoDB database in Atlan.
- [ADLS](https://docs.atlan.com/llms/platform/types/adls/llms.txt): Base class for Azure Data Lake Storage (ADLS) assets.
- [ADLSAccount](https://docs.atlan.com/llms/platform/types/adls-account/llms.txt): Instance of an Azure Data Lake Storage (ADLS) account in Atlan.
- [ADLSContainer](https://docs.atlan.com/llms/platform/types/adls-container/llms.txt): Instance of an Azure Data Lake Storage (ADLS) container in Atlan.
- [ADLSObject](https://docs.atlan.com/llms/platform/types/adls-object/llms.txt): Instance of an Azure Data Lake Storage (ADLS) blob / object in Atlan.
- [GCS](https://docs.atlan.com/llms/platform/types/gcs/llms.txt): Base class for Google Cloud Storage (GCS) assets.
- [GCSBucket](https://docs.atlan.com/llms/platform/types/gcs-bucket/llms.txt): Instance of a Google Cloud Storage bucket in Atlan.
- [GCSObject](https://docs.atlan.com/llms/platform/types/gcs-object/llms.txt): Instance of a Google Cloud Storage object in Atlan.
- [S3](https://docs.atlan.com/llms/platform/types/s3/llms.txt): Base class for S3 assets.
- [S3Bucket](https://docs.atlan.com/llms/platform/types/s3bucket/llms.txt): Instance of an S3 bucket in Atlan.
- [S3Object](https://docs.atlan.com/llms/platform/types/s3object/llms.txt): Instance of an S3 object in Atlan.
- [S3Prefix](https://docs.atlan.com/llms/platform/types/s3prefix/llms.txt): Instance of an S3 prefix in Atlan.
- [ADF](https://docs.atlan.com/llms/platform/types/adf/llms.txt): Base class for ADF assets.
- [AdfActivity](https://docs.atlan.com/llms/platform/types/adf-activity/llms.txt): Base class for ADF Activities. It is a processing or transformation step that performs a specific task within a pipeline to manipulate or move data
- [AdfDataflow](https://docs.atlan.com/llms/platform/types/adf-dataflow/llms.txt): Base class for ADF Dataflows. It is a visually designed data transformation logic.
- [AdfDataset](https://docs.atlan.com/llms/platform/types/adf-dataset/llms.txt): Base class for ADF Datasets. It is a named view of data that references or points to the data you want to use in activities.
- [AdfLinkedservice](https://docs.atlan.com/llms/platform/types/adf-linkedservice/llms.txt): Base class for ADF Linkedservices. It is a connection to a data source or compute resource used by Azure Data Factory.
- [AdfPipeline](https://docs.atlan.com/llms/platform/types/adf-pipeline/llms.txt): Base class for ADF Pipelines. It is a logical grouping of activities that together perform a specific data processing task.
- [Airflow](https://docs.atlan.com/llms/platform/types/airflow/llms.txt): Base class for Airflow assets.
- [AirflowDag](https://docs.atlan.com/llms/platform/types/airflow-dag/llms.txt): Instance of an Airflow DAG in Atlan.
- [AirflowTask](https://docs.atlan.com/llms/platform/types/airflow-task/llms.txt): Instance of an Airflow task in Atlan.
- [Dbt](https://docs.atlan.com/llms/platform/types/dbt/llms.txt): Base class for dbt assets.
- [DbtColumnProcess](https://docs.atlan.com/llms/platform/types/dbt-column-process/llms.txt): Instance of a column-level dbt process in Atlan.
- [DbtDimension](https://docs.atlan.com/llms/platform/types/dbt-dimension/llms.txt): Instance of a dbt semantic dimension in Atlan.
- [DbtEntity](https://docs.atlan.com/llms/platform/types/dbt-entity/llms.txt): Instance of a dbt semantic entity in Atlan.
- [DbtMeasure](https://docs.atlan.com/llms/platform/types/dbt-measure/llms.txt): Instance of a dbt semantic measure in Atlan.
- [DbtMetric](https://docs.atlan.com/llms/platform/types/dbt-metric/llms.txt): Instance of a dbt metric in Atlan.
- [DbtModel](https://docs.atlan.com/llms/platform/types/dbt-model/llms.txt): Instance of a dbt model in Atlan.
- [DbtModelColumn](https://docs.atlan.com/llms/platform/types/dbt-model-column/llms.txt): Instance of a column within a dbt model in Atlan.
- [DbtProcess](https://docs.atlan.com/llms/platform/types/dbt-process/llms.txt): Instance of a lineage process for dbt in Atlan.
- [DbtSeed](https://docs.atlan.com/llms/platform/types/dbt-seed/llms.txt): Instance of a dbt seed in Atlan.
- [DbtSemanticModel](https://docs.atlan.com/llms/platform/types/dbt-semantic-model/llms.txt): Instance of a dbt semantic model in Atlan.
- [DbtSource](https://docs.atlan.com/llms/platform/types/dbt-source/llms.txt): Instance of a dbt source asset in Atlan.
- [DbtTag](https://docs.atlan.com/llms/platform/types/dbt-tag/llms.txt): Instance of a dbt tag in Atlan.
- [DbtTest](https://docs.atlan.com/llms/platform/types/dbt-test/llms.txt): Instance of a dbt test in Atlan.
- [Fivetran](https://docs.atlan.com/llms/platform/types/fivetran/llms.txt): Base class for Fivetran assets.
- [FivetranConnector](https://docs.atlan.com/llms/platform/types/fivetran-connector/llms.txt): Instance of a Fivetran connector asset in Atlan.
- [Matillion](https://docs.atlan.com/llms/platform/types/matillion/llms.txt): Base class for Matillion assets.
- [MatillionComponent](https://docs.atlan.com/llms/platform/types/matillion-component/llms.txt): Instance of a Matillion component in Atlan. Components in Matillion are a part of a job, where each component is responsible for accomplishing a task based on the type of component used.
- [MatillionGroup](https://docs.atlan.com/llms/platform/types/matillion-group/llms.txt): Instance of a Matillion group in Atlan. A group in Matillion is the top-level hierarchy, where resources are managed and explored.
- [MatillionJob](https://docs.atlan.com/llms/platform/types/matillion-job/llms.txt): Instance of a Matillion job in Atlan. Jobs in Matillion design, organize and execute workflows which are responsible for ETL data processing.
- [MatillionProject](https://docs.atlan.com/llms/platform/types/matillion-project/llms.txt): Instance of a Matillion project in Atlan. A project in Matillion is a logical grouping of configuration settings and jobs which are responsible for data processing and transformation.
- [Cognite](https://docs.atlan.com/llms/platform/types/cognite/llms.txt): Base class for Cognite assets.
- [CogniteAsset](https://docs.atlan.com/llms/platform/types/cognite-asset/llms.txt): Instance of a Cognite asset in Atlan.
- [CogniteEvent](https://docs.atlan.com/llms/platform/types/cognite-event/llms.txt): Instance of a Cognite event in Atlan.
- [CogniteFile](https://docs.atlan.com/llms/platform/types/cognite-file/llms.txt): Instance of a Cognite file in Atlan.
- [CogniteSequence](https://docs.atlan.com/llms/platform/types/cognite-sequence/llms.txt): Instance of a Cognite sequence in Atlan.
- [CogniteTimeSeries](https://docs.atlan.com/llms/platform/types/cognite-time-series/llms.txt): Instance of a Cognite time series in Atlan.
- [Cognite3DModel](https://docs.atlan.com/llms/platform/types/cognite3d-model/llms.txt): Instance of a Cognite 3D model in Atlan.
- [Dataverse](https://docs.atlan.com/llms/platform/types/dataverse/llms.txt): Base class for all Dataverse types.
- [DataverseAttribute](https://docs.atlan.com/llms/platform/types/dataverse-attribute/llms.txt): Instances of DataverseAttribute in Atlan.
- [DataverseEntity](https://docs.atlan.com/llms/platform/types/dataverse-entity/llms.txt): Instances of DataverseEntity in Atlan.
- [GCPDataplex](https://docs.atlan.com/llms/platform/types/gcp-dataplex/llms.txt): Base class for GCP Dataplex Aspect Type assets.
- [GCPDataplexAspectType](https://docs.atlan.com/llms/platform/types/gcp-dataplex-aspect-type/llms.txt): Represents a Google Dataplex Aspect Type definition.
- [SageMakerUnifiedStudio](https://docs.atlan.com/llms/platform/types/sage-maker-unified-studio/llms.txt): Base class for all SageMakerUnifiedStudio types.
- [SageMakerUnifiedStudioAsset](https://docs.atlan.com/llms/platform/types/sage-maker-unified-studio-asset/llms.txt): Instance of SageMaker Unified Studio asset in Atlan. This holds common attributes for both Published and Subscribed assets.
- [SageMakerUnifiedStudioAssetSchema](https://docs.atlan.com/llms/platform/types/sage-maker-unified-studio-asset-schema/llms.txt): Schema definition for an asset in SageMaker Unified Studio, analogous to columns for a SQL table.
- [SageMakerUnifiedStudioProject](https://docs.atlan.com/llms/platform/types/sage-maker-unified-studio-project/llms.txt): Instance of SageMaker Unified Studio Project in Atlan.
- [SageMakerUnifiedStudioPublishedAsset](https://docs.atlan.com/llms/platform/types/sage-maker-unified-studio-published-asset/llms.txt): Instance of SageMaker Unified Studio published asset in Atlan.
- [SageMakerUnifiedStudioSubscribedAsset](https://docs.atlan.com/llms/platform/types/sage-maker-unified-studio-subscribed-asset/llms.txt): Instance of SageMaker Unified Studio subscribed asset in Atlan. A subscribed asset is analogous to a view, with its own lifecycle independent from the published asset itself.
- [Salesforce](https://docs.atlan.com/llms/platform/types/salesforce/llms.txt): Base class for Salesforce assets.
- [SalesforceDashboard](https://docs.atlan.com/llms/platform/types/salesforce-dashboard/llms.txt): Instance of a Salesforce dashboard in Atlan.
- [SalesforceField](https://docs.atlan.com/llms/platform/types/salesforce-field/llms.txt): Instance of a Salesforce field in Atlan.
- [SalesforceObject](https://docs.atlan.com/llms/platform/types/salesforce-object/llms.txt): Instance of a Salesforce object in Atlan.
- [SalesforceOrganization](https://docs.atlan.com/llms/platform/types/salesforce-organization/llms.txt): Instance of a Salesforce organization in Atlan.
- [SalesforceReport](https://docs.atlan.com/llms/platform/types/salesforce-report/llms.txt): Instance of a Salesforce report in Atlan.
- [SAPBW](https://docs.atlan.com/llms/platform/types/sapbw/llms.txt): Base class for SAP BW/4HANA assets. Inherits SAP-wide attributes (technicalName, logicalName, packageName, componentName, dataType, fieldCount, fieldOrder) so cross-SAP queries can traverse both SAP ERP and SAP BW assets. SAP BW maps componentName from RSDS.APPLNM / RSKSNEW.APPLNM.
- [SAPBWCompositeProvider](https://docs.atlan.com/llms/platform/types/sapbw-composite-provider/llms.txt): Virtual view that combines data from multiple ADSOs for reporting in SAP BW/4HANA (RSOHCPR).
- [SAPBWCompositeProviderField](https://docs.atlan.com/llms/platform/types/sapbw-composite-provider-field/llms.txt): Column or dimension exposed by a SAP BW CompositeProvider (RSOHCPRT).
- [SAPBWDataSource](https://docs.atlan.com/llms/platform/types/sapbw-data-source/llms.txt): Extraction contract between a source system and SAP BW (RSDS). Composite key (DATASOURCE + LOGSYS); qualifiedName must encode both. By design, DataSource is not contained under an InfoArea.
- [SAPBWDataSourceField](https://docs.atlan.com/llms/platform/types/sapbw-data-source-field/llms.txt): Column definition within a SAP BW DataSource extraction structure (RSDSSEGFD). Inherits the composite (DATASOURCE + LOGSYS) parent identity. Field position is captured via inherited fieldOrder; data type via inherited dataType; length via inherited length (RSDSSEGFD.LENG).
- [SAPBWInfoArea](https://docs.atlan.com/llms/platform/types/sapbw-info-area/llms.txt): Organizational container that groups related BW objects by subject area (RSDAREA).
- [SAPBWInfoObject](https://docs.atlan.com/llms/platform/types/sapbw-info-object/llms.txt): Business field definition and fundamental building block of the SAP BW data model (RSDIOBJ).
- [SAPBWInfoSource](https://docs.atlan.com/llms/platform/types/sapbw-info-source/llms.txt): Intermediate harmonisation layer between a DataSource and a storage object in SAP BW (RSKSNEW).
- [SAPBWInfoSourceField](https://docs.atlan.com/llms/platform/types/sapbw-info-source-field/llms.txt): Field definition within a SAP BW InfoSource (RSKSFIELDNEW). Field position is captured via inherited fieldOrder; data type via inherited dataType; length via inherited length (RSKSFIELDNEW.LENG).
- [SAPBWQuery](https://docs.atlan.com/llms/platform/types/sapbw-query/llms.txt): BEx Query report definition that consumes data from an ADSO or CompositeProvider in SAP BW (RSZCOMPDIR).
- [SAPBWQueryElement](https://docs.atlan.com/llms/platform/types/sapbw-query-element/llms.txt): Building block of a BEx Query (RSZELTDIR) such as a selection, variable, or calculated key figure.
- [SAPBWTransformation](https://docs.atlan.com/llms/platform/types/sapbw-transformation/llms.txt): Field mapping and conversion logic between source and target objects in SAP BW (RSTRAN). Column-level lineage is materialised through SAPColumnProcess entities that reference this Transformation via the sapBwTransformations attribute.
- [SAPBWADSO](https://docs.atlan.com/llms/platform/types/sapbwadso/llms.txt): Advanced DataStore Object which is the primary data storage object in SAP BW/4HANA (RSOADSO). Total field count is captured via inherited fieldCount.
- [SAPBWADSOField](https://docs.atlan.com/llms/platform/types/sapbwadso-field/llms.txt): Data column within a SAP BW ADSO (RSOADSOT, ELEM rows).
- [SAPBWDTP](https://docs.atlan.com/llms/platform/types/sapbwdtp/llms.txt): Data Transfer Process (RSBKDTP) that moves data between objects in SAP BW. Lineage is materialised through SAPProcess entities that reference this DTP via the sapBwDtps attribute.
- [BigqueryRoutine](https://docs.atlan.com/llms/platform/types/bigquery-routine/llms.txt): Instance of a bigquery routine in atlan. Can be a stored procedure, udf, or tvf.
- [CalculationView](https://docs.atlan.com/llms/platform/types/calculation-view/llms.txt): Instance of a calculation view in Atlan.
- [Column](https://docs.atlan.com/llms/platform/types/column/llms.txt): Instance of a column in Atlan.
- [Database](https://docs.atlan.com/llms/platform/types/database/llms.txt): Instance of a (relational) database in Atlan.
- [Databricks](https://docs.atlan.com/llms/platform/types/databricks/llms.txt): Instance of an asset in Databricks.
- [DatabricksAIModelContext](https://docs.atlan.com/llms/platform/types/databricks-ai-model-context/llms.txt): Instance of an ai model in databricks.
- [DatabricksAIModelVersion](https://docs.atlan.com/llms/platform/types/databricks-ai-model-version/llms.txt): Instance of an ai model version in databricks.
- [DatabricksDashboard](https://docs.atlan.com/llms/platform/types/databricks-dashboard/llms.txt): Instance of a Databricks AI/BI dashboard in Atlan.
- [DatabricksExternalLocation](https://docs.atlan.com/llms/platform/types/databricks-external-location/llms.txt): Represents a Databricks External Location, a storage object for managing and accessing data files.
- [DatabricksExternalLocationPath](https://docs.atlan.com/llms/platform/types/databricks-external-location-path/llms.txt): Represents a path within a Databricks External Location, providing access to specific data files or directories in external storage.
- [DatabricksMetricView](https://docs.atlan.com/llms/platform/types/databricks-metric-view/llms.txt): Instance of a Databricks metric view in Atlan.
- [DatabricksNotebook](https://docs.atlan.com/llms/platform/types/databricks-notebook/llms.txt): Base class for all databricks notebook assets.
- [DatabricksVolume](https://docs.atlan.com/llms/platform/types/databricks-volume/llms.txt): Represents a Databricks Volume, a storage object for managing and accessing data files within Databricks workspaces.
- [DatabricksVolumePath](https://docs.atlan.com/llms/platform/types/databricks-volume-path/llms.txt): Represents a path within a Databricks Volume, providing access to specific data files or directories.
- [Dremio](https://docs.atlan.com/llms/platform/types/dremio/llms.txt): Base class for Dremio assets.
- [DremioColumn](https://docs.atlan.com/llms/platform/types/dremio-column/llms.txt): Instance of a Dremio Column in Atlan.
- [DremioFolder](https://docs.atlan.com/llms/platform/types/dremio-folder/llms.txt): Instance of a Dremio Folder in Atlan. Represents organizational containers within spaces or sources that can contain datasets and sub-folders, enabling hierarchical data organization.
- [DremioPhysicalDataset](https://docs.atlan.com/llms/platform/types/dremio-physical-dataset/llms.txt): Instance of a Dremio Physical Dataset (Table) in Atlan. Represents actual data files or database tables that can be queried directly and serve as the foundation for virtual datasets.
- [DremioSource](https://docs.atlan.com/llms/platform/types/dremio-source/llms.txt): Instance of a Dremio Source in Atlan. Represents external data connections that provide access to data stored in various systems like cloud storage, databases, or file systems.
- [DremioSpace](https://docs.atlan.com/llms/platform/types/dremio-space/llms.txt): Instance of a Dremio Space in Atlan. Represents a logical workspace in Dremio where users can create and organize virtual datasets.
- [DremioVirtualDataset](https://docs.atlan.com/llms/platform/types/dremio-virtual-dataset/llms.txt): Instance of a Dremio Virtual Dataset (View) in Atlan. Represents SQL-defined views that transform and combine data from physical datasets or other virtual datasets.
- [Function](https://docs.atlan.com/llms/platform/types/function/llms.txt): Instance of a function in Atlan.
- [Iceberg](https://docs.atlan.com/llms/platform/types/iceberg/llms.txt): Base class for Iceberg assets.
- [IcebergCatalog](https://docs.atlan.com/llms/platform/types/iceberg-catalog/llms.txt): Instance of an Iceberg catalog in Atlan.
- [IcebergColumn](https://docs.atlan.com/llms/platform/types/iceberg-column/llms.txt): Instance of an Iceberg column in Atlan.
- [IcebergNamespace](https://docs.atlan.com/llms/platform/types/iceberg-namespace/llms.txt): Instance of an Iceberg namespace in Atlan. Supports nested namespaces with dot-separated paths.
- [IcebergTable](https://docs.atlan.com/llms/platform/types/iceberg-table/llms.txt): Instance of an Iceberg table in Atlan.
- [MaterialisedView](https://docs.atlan.com/llms/platform/types/materialised-view/llms.txt): Instance of a materialized view in Atlan.
- [Procedure](https://docs.atlan.com/llms/platform/types/procedure/llms.txt): Instance of a stored procedure (routine) in Atlan.
- [Query](https://docs.atlan.com/llms/platform/types/query/llms.txt): Instance of a query in Atlan.
- [Schema](https://docs.atlan.com/llms/platform/types/schema/llms.txt): Instance of a database schema in Atlan.
- [Snowflake](https://docs.atlan.com/llms/platform/types/snowflake/llms.txt): Base class for Snowflake-specific assets.
- [SnowflakeAIModelContext](https://docs.atlan.com/llms/platform/types/snowflake-ai-model-context/llms.txt): Instance of an ai model in snowflake.
- [SnowflakeAIModelVersion](https://docs.atlan.com/llms/platform/types/snowflake-ai-model-version/llms.txt): Instance of an ai model version in snowflake.
- [SnowflakeListing](https://docs.atlan.com/llms/platform/types/snowflake-listing/llms.txt): Instance of a Snowflake listing in Atlan.
- [SnowflakeSemanticDimension](https://docs.atlan.com/llms/platform/types/snowflake-semantic-dimension/llms.txt): Instance of a Snowflake semantic dimension in Atlan.
- [SnowflakeSemanticFact](https://docs.atlan.com/llms/platform/types/snowflake-semantic-fact/llms.txt): Instance of a Snowflake semantic fact in Atlan.
- [SnowflakeSemanticLogicalTable](https://docs.atlan.com/llms/platform/types/snowflake-semantic-logical-table/llms.txt): Instance of a Snowflake semantic logical table in Atlan.
- [SnowflakeSemanticMetric](https://docs.atlan.com/llms/platform/types/snowflake-semantic-metric/llms.txt): Instance of a Snowflake semantic metric in Atlan.
- [SnowflakeSemanticView](https://docs.atlan.com/llms/platform/types/snowflake-semantic-view/llms.txt): Instance of a Snowflake semantic view in Atlan.
- [SnowflakeShare](https://docs.atlan.com/llms/platform/types/snowflake-share/llms.txt): Instance of a Snowflake share in Atlan.
- [Starburst](https://docs.atlan.com/llms/platform/types/starburst/llms.txt): Base class for Starburst assets.
- [StarburstDataset](https://docs.atlan.com/llms/platform/types/starburst-dataset/llms.txt): Instance of a Starburst dataset in Atlan. A dataset is a view or materialized view published through a Starburst Data Product.
- [StarburstDatasetColumn](https://docs.atlan.com/llms/platform/types/starburst-dataset-column/llms.txt): Instance of a column within a Starburst dataset in Atlan.
- [Table](https://docs.atlan.com/llms/platform/types/table/llms.txt): Instance of a database table in Atlan.
- [TablePartition](https://docs.atlan.com/llms/platform/types/table-partition/llms.txt): Instance of a database table partition in Atlan.
- [View](https://docs.atlan.com/llms/platform/types/view/llms.txt): Instance of a database view in Atlan.

#### [Partner with us](https://docs.atlan.com/llms/platform/partner-with-us/llms.txt)

> Build and distribute apps on Atlan through the Partner Program—access exclusive SDKs, technical support, and go-to-market resources.

- [Partner journey](https://docs.atlan.com/llms/platform/partner-with-us/partner-journey/llms.txt): This document describes how Atlan collaborates with partners on application development, testing, documentation, and support.
- [Development and Deployment](https://docs.atlan.com/llms/platform/partner-with-us/development-and-deployment/llms.txt): Questions about developing, deploying, and managing apps through the Atlan App Marketplace.
- [Platform Integration](https://docs.atlan.com/llms/platform/partner-with-us/platform-integration/llms.txt): Questions about integrating apps with the Atlan platform and third-party systems.
- [Security and Compliance](https://docs.atlan.com/llms/platform/partner-with-us/security-and-compliance/llms.txt): Security and compliance requirements for apps in the Atlan App Marketplace.

#### [Changelog](https://docs.atlan.com/llms/platform/changelog/llms.txt)

> Index for the Atlan product changelog. The full feed (new features, integrations, and platform updates by month, newest first) is served at https://docs.atlan.com/data/product-change-log/llms.txt. MCP clients can call get_changelog instead.

- [Atlan Lakehouse](https://docs.atlan.com/llms/platform/changelog/lakehouse/llms.txt): This changelog has moved to Atlan docs over MCP.

## Optional

- [Atlan University](https://university.atlan.com/certifications): Courses and certifications for mastering Atlan's data governance, discovery, and collaboration capabilities.
- [Support](https://docs.atlan.com/support/references/customer-support): Help resources and technical support.
- [What's new](https://shipped.atlan.com/): Latest product updates and new features.