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 delve into Unity Catalog and share 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 explore various aspects of data governance—including data sharing, auditing, access controls, and automation—as they learn how to establish a robust data governance framework that complies with regulations.
Learn the fundamentals of data governance and how they relate to Unity Catalog. Use 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.
Pages: 300, Dimensions: 17.8x17.8cm
