Sreekumar K. Data Governance With Unity Catalog on Databricks...2025

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Sreekumar K. Data Governance With Unity Catalog on Databricks...2025

Textbook in PDF format 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 Who This Book Is For: Our book on governance with Unity Catalog is primarily aimed at the following people: Data architects and executives Decision makers responsible for shaping the data and AI strategy for entire organizations or business units will get a lot out of this book. It provides a comprehensive understanding of the industry direction on open, centralized multimodal catalogs and interoperability, enabling them to make informed strategic decisions that drive business success. Data application teams This book is also for professionals who design and implement ETL pipelines, automate data processing, and make data accessible to various stakeholders, including data engineers, analysts, and scientists. It provides practical guidance on leveraging Unity Catalog to improve data management and governance, ensure data quality, and enable seamless data sharing and collaboration. Cloud platform engineers Experts responsible for providing a platform for data teams and enforcing security and governance standards will benefit from this book. It provides in-depth guidance on leveraging Unity Catalog to build a robust, secure, and compliant data platform that supports their organization’s data-driven initiatives. Databricks consultants For seasoned professionals with experience using the Databricks Platform, this book provides expert guidance on Unity Catalog and its applications, enabling them to enhance their consulting services and deliver high-value solutions to their clients. Machine learning (ML)/AI engineers As the practitioners responsible for designing, developing, and deploying AI/ML models and functions, ML/AI engineers should read this book to learn how Unity Catalog can help them secure their AI/ML assets and ensure the integrity of their models and data. Additionally, the following group may also benefit from this book, although to a lesser extent: Data stewards and chief data officers (CDOs) While the book focuses on the practical aspects of Unity Catalog and related features, the concepts and approaches discussed will help data stewards and CDOs understand the overall governance framework and how Unity Catalog can support their organization’s compliance with regulatory standards. Contents: Preface Prologue: Governance by Choice The Modern Governance Stack Unity Catalog Under the Hood Identity Management Unity Catalog and Compute Access Controls and Permissions Model Governing AI Observability and Discoverability Data Sharing and Collaboration Open Access Being Compliant with Regulatory Standards Accelerating Unity Catalog Adoption The Future of Unity Catalog Index