Data Governance Frameworks in Databricks focus on defining structured policies, standards, and controls to manage data across the Databricks platform. These frameworks ensure data quality, security, privacy, and compliance throughout the data lifecycle. This training explains how Unity Catalog enables centralized metadata management, access control, and data lineage tracking. It also covers how organizations define roles, responsibilities, and governance policies to regulate data usage and sharing. You will learn how to design scalable governance models that balance collaboration with strong data control. The course also highlights best practices for building secure, compliant, and well-managed lakehouse environments in enterprise settings.
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