I’m assuming you’re reading this book because you’re involved with planning to implement a data catalog, improve an existing one, sunset it, or simply trying to understand what kind of technology a data catalog is: what it does, how it should be used, and if it can help you in a certain way. You might be part of the offices of the legal counsel, chief data officer, data protection officer, or chief information officer. You might be a data engineer, data scientist, or data manager, or you might be part of the data governance team. If you are, then this book will help you understand what a data catalog is and how it will enable you to find exactly what you are searching for.

Organize Data.
As a data catalog crawls the IT landscape, it organizes the metadata for data entities within the landscape as assets pertaining to a data source and stores them in domains. The same goes for data products that are published to the data catalog. Data - put simply - has to belong somewhere.
Therefore, you play a big part in this: you must design the domains and part of the metadata that data is to be assigned. And keep in mind that most data catalogs offer automation of this process—it should not be a completely manual task to add metadata.
Contents.
Preface (available).
Chapter 1 Introduction to Data Catalogs (available).
Chapter 2 Organize Data: Design a Robust Architecture for Search (unavailable).
Chapter 3 Search Data: Concepts, Features, Mechanics, Patterns (unavailable).
Chapter 4 Access and Observe Data (unavailable).
Chapter 5 Empower End Users and Engage Stakeholders (unavailable).
Chapter 6 Data Domains (unavailable).
Chapter 7 Data Architecture, Providers and Consumers (unavailable).
Chapter 8 Data Products and Data Contracts (unavailable).
Chapter 9 Manage Data: Improve Lifecycle Management (unavailable).
Chapter 10 The Data Catalog Is Now a Source in Itself (unavailable).
Chapter 11 The LLM + KG Pattern (unavailable).
Chapter 12 standards and AI (unavailable).
Chapter 13 Looking Ahead, a Revisit (unavailable).
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