Data Governance with Unity Catalog on Databricks - Sreekumar, Kiran; Subbarao, Karthik
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Kiran Sreekumar is a data architect specializing in Data and AI and governance at Databricks.He has been designing and developing data engineering, data warehousing and data governance products and use cases since 2012 with an overall experience of 15 years across various industries. While working for Tata Consultancy Services between 2012 and 2015, when Hadoop and Big Data were experiencing a surge in popularity, he was part of a team that built one of the initial products for data archival and governance on the Apache Hadoop platform, called "Active Archive". He speaks about data and AI at conferences and runs the Databricks user group based out of Edinburgh in Scotland. Kiran holds a Bachelor of technology Degree in Electronics and Communications. He currently works with Databricks as a Specialist Solutions Architect and is based out of the United Kingdom.