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Full Description
Organizations collecting and using personal data must now heed a growing body of regulations, and the penalties for noncompliance are stiff. The ubiquity of the cloud and the advent of generative AI have only made it more crucial to govern data appropriately. Thousands of companies have turned to Databricks Unity Catalog to simplify data governance and manage their data and AI assets more effectively. This practical guide helps you do the same.
Databricks data specialists Kiran Sreekumar and Karthik Subbarao dive deep into Unity Catalog and share the best practices that enable data practitioners to build and serve their data and AI assets at scale. Data product owners, data engineers, AI/ML engineers, and data executives will examine various facets of data governance—including data sharing, auditing, access controls, and automation—as they discover how to establish a robust data governance framework that complies with regulations.
Explore data governance fundamentals and understand how they relate to Unity Catalog
Utilize Unity Catalog to unify data and AI governance
Access data efficiently for analytics
Implement different data protection mechanisms
Securely share data and AI assets internally and externally with Delta Sharing
Disclaimer: This book is not written by or on behalf of Databricks, and the views/opinions expressed in the book do not necessarily represent the views/opinions of Databricks.
