# Lakehouse

> Part of Discover and enrich

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.