databricks-unity-catalog

Manage Databricks Unity Catalog resources using standardized workflows for discovery, creation, updates, and deletion. This enforces three-level naming, owner assignment, and safe CRUD operations to maintain consistent governance across catalogs, schemas, and tables.

Create schemas in Databricks Unity Catalog by applying enforced naming conventions and governance standards. The workflow validates catalog and schema metadata while assigning ownership during creation to ensure standardized resource management.

Databricks Unity Catalog supports safe deletions for tables and schemas using confirmation prompts integrated into MCP-driven workflows. This prevents accidental data loss while validating metadata before removing resources.

Discover existing catalogs, schemas, and tables in Databricks Unity Catalog to understand their structure and ownership. The workflow validates metadata across all three levels to ensure governance compliance.

Three-level naming for Databricks Unity Catalog table management enforces consistent identification across catalogs, schemas, and tables. This standardization prevents naming conflicts and ensures proper governance in production environments.

MCP tools for Unity Catalog governance workflows require valid metadata across catalogs, schemas, and tables. Operations fail if naming conventions or ownership assignments do not meet validation standards in production Databricks environments.