databricks-unity-catalog

Query Unity Catalog system tables like audit, table_lineage, and column_lineage using SQL or SDKs to monitor access, track data movement, and generate compliance reports across Databricks workspaces.

Monitor compute activity and billing costs in Databricks by querying system billing tables and job histories via SQL, enabling quick insights into compute usage, optimization opportunities, and cost visibility.

Use Unity Catalog volumes to manage file operations by uploading, downloading, and listing files under the /Volumes directory, allowing you to govern data assets, control storage costs, and maintain secure data discovery.

Generate a governance report for your Databricks environment by interrogating Unity Catalog system tables and volumes to synthesize audit logs, lineage data, and volume operations into actionable governance and compliance insights.

Querying Unity Catalog system tables requires following best practices for data retention and security to ensure safe data discovery, proper access auditing, and compliance when navigating audit logs and billing metadata.

Unity Catalog system tables provide centralized, queryable governance metadata across audits, lineage, and billing, replacing manual tracking with automated visibility for compliance, cost analysis, and access auditing workflows.