If your workspace was enabled for Unity Catalog automatically, there is no metastore-level storage, and you must specify a storage location when you create a catalog. You may choose, for example, to have a catalog for production data and a catalog for development data, or a catalog for non-customer data and one for sensitive customer data.Ĭatalogs can be stored at the metastore level, or you can configure a catalog to be stored separately from the rest of the parent metastore. Catalogs often mirror organizational units or software development lifecycle scopes. They are intended as the primary unit of data isolation in a typical Azure Databricks data governance model.Ĭatalogs represent a logical grouping of schemas, usually bounded by data access requirements. Data isolation should begin at the catalog level.Ĭatalog: Catalogs are the highest level in the data hierarchy (catalog > schema > table/view/volume) managed by the Unity Catalog metastore. Metastores provide regional isolation but are not intended as units of data isolation. Physical storage for any given metastore is, by default, isolated from storage for any other metastore in your account. They don’t have direct access to read and write to tables registered in the metastore, but they do have indirect access through their ability to transfer data object ownership. Metastore admins can manage all objects in the metastore. Azure Databricks account admins can create one metastore for each region in which they operate, and assign them to multiple Azure Databricks workspaces in the same region. Metastores manage data assets (tables, views, and volumes) and the permissions that govern access to them. Metastores live at the account level and function as the top of the pyramid in the Azure Databricks data governance model. Metastore: A metastore is the top-level container of objects in Unity Catalog. The objects in that hierarchy include the following:
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