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 BigQuery to Atlan's Lakehouse to query catalog metadata from BigQuery SQL. Setup requires a GCP Cloud Resource connection, a service account grant from Atlan Support, and a Python script that creates the external tables.
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.
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.
Get your Lakehouse connection details and connect your preferred Iceberg REST–compatible client
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.
Describe your domain in the Context Engineering Studio chat window and let the agent search your Atlan data graph, identify relevant assets, and bootstrap a context repository with a semantic model, skills, and verified queries.
Learn how to deploy the Atlan browser extension across your organization using managed browsers and MDM software on macOS and Windows.
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 Chat and build and Simulate run on the live Genie Space.
Deploy a context repository from Context Engineering Studio to Snowflake Cortex Analyst as a Semantic View. Grant access to your business users, verify the view in Snowflake, and monitor live query traces in the Observe tab.
Enable ML-based anomaly detection on a Snowflake table to automatically monitor row count and freshness without manual thresholds.
Learn how to enable embedded Atlan metadata in Tableau dashboards for seamless data context and governance.
Step-by-step guide to triggering AI-powered metadata enrichment using context agents in Context Agents Studio.
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.
Get your Lakehouse connection details from Atlan and configure any Iceberg REST–compatible client to start querying your metadata. Setup requires credentials from the Lakehouse Marketplace view in Atlan.
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.
Grant the Snowflake permissions Context Engineering Studio needs to deploy a certified context repository to Snowflake Cortex Analyst. Required only at deploy time. You can connect, build, and simulate without them.
Build your first context layer for one domain, one team, and one AI client using Atlan connectors, context agents, and the Atlan MCP server.
Build an enterprise context layer for AI agents across multiple domains, governed for compliance, using Atlan Context Studio and the Atlan MCP server.
Add data-side observability to production AI agents with Atlan, covering lineage, access enforcement, and audit logs. Pair with an LLM observability tool.
Build long-term memory for AI agents with Atlan context repositories and the Atlan MCP server. Covers prerequisites, MCP wiring, and validation.
Write an AGENTS.md file for AI coding agents (Codex, Cursor, Copilot, Aider, Windsurf, Zed). Spec, examples, required and optional sections, and pitfalls.
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.
Step-by-step guide to importing glossary terms, categories, and glossaries into Atlan using a local CSV file.
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.
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.
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.
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.