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Data lakehouse access control
Data lakehouse access control









data lakehouse access control

Schema: Also known as databases, schemas are the second layer of the object hierarchy and contain tables and views.Catalog: The first layer of the object hierarchy, used to organize your data assets.Each metastore exposes a three-level namespace ( catalog. Metastore: The top-level container for metadata.

data lakehouse access control

In Unity Catalog, the hierarchy of primary data objects flows from metastore to table or volume: System tables (Public Preview): Unity Catalog lets you easily access and query your account’s operational data, including audit logs, billable usage, and lineage.Data discovery: Unity Catalog lets you tag and document data assets, and provides a search interface to help data consumers find data.Unity Catalog also captures lineage data that tracks how data assets are created and used across all languages and personas. Built-in auditing and lineage: Unity Catalog automatically captures user-level audit logs that record access to your data.Standards-compliant security model: Unity Catalog’s security model is based on standard ANSI SQL and allows administrators to grant permissions in their existing data lake using familiar syntax, at the level of catalogs, databases (also called schemas), tables, and views.Define once, secure everywhere: Unity Catalog offers a single place to administer data access policies that apply across all workspaces and personas.











Data lakehouse access control