48 docs tagged with "metadata"

Frequently asked questions about the AI Application Risk Classifier app.

Complete reference for AtlasTransformer that converts metadata into Atlas entities using pyatlan library classes.

Database connectivity and metadata operations including credential validation, schema retrieval, and preflight checks.

Configuration reference for enriching AI Application assets with risk metadata using the AI Application Risk Classifier.

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

Crawl metadata from SQL Server Reporting Services (SSRS) to catalog reports, datasets, and data sources. Extract report definitions, lineage, and data model information.

Expand existing custom metadata definitions to include new connections or glossaries added after initial creation. Reference for workflow configuration and scope-extension rules.

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.

Learn how to enable embedded Atlan metadata in Tableau dashboards for seamless data context and governance.

Migrate metadata enrichment between connections during system rebuilds or migrations. Reference for workflow configuration, enrichment selection, and transformation mapping rules.

Estimate asset counts for pricing inputs using SQL and API scripts for common platforms.

Understand how the AI Application Risk Classifier evaluates AI Application metadata based on the EU AI Act framework.

Learn about how does atlan handle lineage from spark jobs?.

Workflows calculate metadata completeness scores across your data assets to measure enrichment progress. Reference for workflow configuration, scoring criteria, and asset-scoping options.

Use Lakehouse to track metadata enrichment coverage across assets and systems.

Configure metadata access in personas — control who can view, edit, or restrict metadata, tags, terms, and governance properties.

Complete configuration reference for the Metadata Propagator app, including propagation direction, attribute selection, filters, and matching behavior.

Learn how to use the Tableau Migration Manager app to migrate asset enrichments between Tableau assets in the same connection.

Learn what the Atlan MCP server is, what it enables, and how to connect using Remote or Local setup.

Configure OpenLineage integration with Atlan — capture lineage metadata from Airflow, Spark, and other data processing tools.

Complete configuration reference for the Orchestration tasks attribute transfer app, including connector selection, custom metadata mapping, transfer direction, and filter options.

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

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.

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.

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.

Overview of metadata transformers that convert raw metadata into Atlas-compatible entities for ingestion into Atlan.

Learn about troubleshooting amazon dynamodb connectivity.

Learn about troubleshooting ibm cognos analytics connectivity.

Learn about troubleshooting tableau connectivity.

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.

Discover patterns and examples for automating Atlan metadata operations using custom Python agents, LangChain pipelines, and n8n workflows.

Discover prompt-based use cases for Atlan MCP that work across Claude Desktop, Cursor, Copilot, ChatGPT, VS Code, and other chat-based AI tools.

Assets and metadata that Atlan extracts from Microsoft SQL Server Reporting Services

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.

Learn about the data quality metadata that Atlan catalogs from Ataccama to enrich your tables and columns.

Learn about the data quality metadata that Atlan catalogs from Bigeye to enrich your tables and columns.

Atlan crawls and maps the following assets and properties from Confluent Schema Registry.

Complete list of CrateDB assets and metadata properties extracted by Atlan during crawling

Learn about the Dagster metadata that Atlan captures and visualizes

Learn what assets and metadata Atlan crawls from Dremio data lakehouse.

Learn what metadata Atlan crawls from Google Cloud Knowledge Catalog.

Learn what assets and metadata Atlan extracts from Hightouch reverse ETL pipelines and syncs.

Learn what assets and metadata Atlan crawls from Iceberg data lakehouse.

Understand the metadata and assets that Atlan discovers from your Microsoft Fabric instance.

Learn about the data quality metadata that Atlan catalogs from Qualytics to enrich your assets.

Learn what AI assets and metadata Atlan crawls from Amazon SageMaker.

Learn what ALTR metadata Atlan imports and how it's mapped to Atlan assets.

Learn about why is my databricks lineage api not working?.