Databricks Unity Catalog Explained | Simplifying Data Governance Across Your #Lakehouse #databricks

Unlock the full potential of your Databricks Lakehouse with Unity Catalog — a unified solution for data governance, access control, lineage, and auditing. In this deep dive, we break down what Unity Catalog is, how it works, and why it’s critical for managing secure and scalable data access across workspaces. Whether you're a data engineer, analyst, or platform admin, you'll learn how Unity Catalog helps standardize governance across clouds and teams. Key features of Unity Catalog include: Define once, secure everywhere: Unity Catalog offers a single place to administer data access policies that apply across all workspaces. 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, schemas (also called databases), tables, and views. Built-in auditing and lineage: Unity Catalog automatically captures user-level audit logs that record access to your data. Unity Catalog also captures lineage data that tracks how data assets are created and used across all languages. Data discovery: Unity Catalog lets you tag and document data assets, and provides a search interface to help data consumers find data. System tables (Public Preview): Unity Catalog lets you easily access and query your account’s operational data, including audit logs, billable usage, and lineage. ref- https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/ #Databricks #UnityCatalog #Lakehouse #DataGovernance #DataSecurity #DataLineage #AccessControl #DatabricksLakehouse #CloudDataPlatform #DataEngineering #DataManagement #DatabricksTutorial #BigData #DataCatalog #EnterpriseData