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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

Data Fabric with Data Mesh reference architecture

Data Mesh and Data Fabric both aim to achieve similar objectives; their approach is different but complementary. A Data Mesh architecture can build on a Data Fabric’s technical approach. There is a misconception in the market today that only one architecture should be selected to execute data management. The reality is that there should be different styles of architecture incorporated into data management to achieve success. As architects, data practitioners, and technologists, we will have different perspectives and points of view that may spark debates. That’s part of us learning, sharing, and collaborating with one another and helps us grow as professionals. I offer a point of view of how a Data Fabric architecture can be used together with a Data Mesh architecture.

A Data Fabric’s active metadata-driven architecture is a differentiator that complements and accelerates the Data Mesh’s principles. Figure...

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