Data Governance in Databricks focuses on managing, securing, and controlling data across data engineering and analytics workflows in the Databricks platform. It ensures data quality, consistency, and compliance through proper access control, metadata management, and auditing. This training explains how Databricks Unity Catalog helps centralize governance by managing permissions, data lineage, and cataloging across workspaces. It also covers role-based access control, data classification, and policy enforcement for secure data usage. You will learn how to implement governance frameworks that support scalable and compliant data operations. The course also highlights best practices for maintaining trust, transparency, and security in enterprise data lakehouse environments.
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