How many levels of data object referencing are required when using Unity Catalog?

Unity Catalog in Databricks introduces a hierarchical model of data governance that enhances the way data assets are organized and accessed. It requires three levels of referencing: the catalog, the schema, and the table.

The catalog serves as the top-level organization for grouping related schemas and tables, which allows users to manage and accommodate multiple data assets in a unified manner. Within each catalog, schemas help to further organize tables into logical groups. Finally, the actual tables represent the datasets that users will interact with.

This three-level structure is essential for providing a clear and systematic way to manage data access and permissions, ensuring that governance policies can be enforced at different levels of the data hierarchy. By understanding this model, users can effectively leverage Unity Catalog for robust data governance and management in their Databricks environment.