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Principles of Data Fabric

You're reading from   Principles of Data Fabric Become a data-driven organization by implementing Data Fabric solutions efficiently

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804615225
Length 188 pages
Edition 1st Edition
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Authors (2):
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DR. Tommy Dang DR. Tommy Dang
Author Profile Icon DR. Tommy Dang
DR. Tommy Dang
Sonia Mezzetta Sonia Mezzetta
Author Profile Icon Sonia Mezzetta
Sonia Mezzetta
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Table of Contents (16) Chapters Close

Preface 1. Part 1: The Building Blocks
2. Chapter 1: Introducing Data Fabric FREE CHAPTER 3. Chapter 2: Show Me the Business Value 4. Part 2: Complementary Data Management Approaches and Strategies
5. Chapter 3: Choosing between Data Fabric and Data Mesh 6. Chapter 4: Introducing DataOps 7. Chapter 5: Building a Data Strategy 8. Part 3: Designing and Realizing Data Fabric Architecture
9. Chapter 6: Designing a Data Fabric Architecture 10. Chapter 7: Designing Data Governance 11. Chapter 8: Designing Data Integration and Self-Service 12. Chapter 9: Realizing a Data Fabric Technical Architecture 13. Chapter 10: Industry Best Practices 14. Index 15. Other Books You May Enjoy

Part 1: The Building Blocks

Data Fabric architecture, alongside its distinguishing qualities and business value proposition, needs to first be defined to enable its adoption as part of any data management strategy.

The first part of this book introduces Data Fabric architecture by establishing the core building blocks and their business value proposition. I offer a different perspective on what defines Data Fabric architecture than ones on the market today. Data Fabric is a flexible and composable architecture capable of adopting several data management styles and operational models. Foundational Data Governance pillars and their intended focus are explained, and a list of key characteristics of what does and doesn’t define Data Fabric is provided.

By the end of Part 1, you will have an understanding of what Data Fabric architecture is, its differentiating characteristics and architecture principles, and the impact of not having a Data Governance-centric architecture...

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