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Book guide and evaluation

Principles of Data Fabric

Sonia Mezzetta

English Unordered Unordered
4.5 / 5

0 reviews

2023

Published

258 / 188

pages

119

views

Apply data fabric solutions to automate data integration, data sharing, and data protection across disparate data sources without moving your dataPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn to design data fabric architecture effectively with yo

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What will you get from this book?

Apply data fabric solutions to automate data integration, data sharing, and data protection across disparate data sources without moving your dataPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn to design data fabric architecture effectively with your choice of toolBuild and use a data fabric solution using DataOps and data mesh frameworksFind out how to build data integration, data governance, and self-service analytics architectureBook DescriptionData can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on premises, and edge devices with data fabric, powerful architecture that creates a unified view of data. This book will enable you to design a data fabric solution by addressing all the key aspects that need to be considered.The book begins by[...]introducing you to data fabric solutions, why you need them, and how they relate to other strategic data management frameworks. You’ll then quickly progress to grasping the principles of DataOps, an operational model for data fabric architecture. The next set of chapters will show you how to combine data fabrics with DataOps and data mesh and how they work together by making the most out of it. After that, you’ll discover how to design data integration, data governance, and self-service analytics architecture. Toward the end of the book, you’ll learn how to implement data privacy and data marketplace using data fabrics with the help of industry best practices.By the end of this data book, you will have a clear understanding of what data fabric is and what architecture looks like, along with the level of effort that goes into designing a data fabric solution.What you will learnUnderstand the core components of data fabric solutionsCombine data fabrics with data mesh and DataOps frameworksImplement a data marketplace by utilizing data fabric capabilitiesApply data observability to prevent failureManage and enforce data privacy using data fabricsExplore industry best practices for effectively implementing a data fabric solutionWho This Book Is ForIf you are a data engineer, data architect, or business analyst who wants to learn all about implementing data fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate data fabric architecture into the broader ecosystem.

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