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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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Toc

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

Use cases

The business use cases that could be realized using a Data Fabric solution are numerous. They include Customer 360, migration to the cloud, regulatory compliance, data democratization, and more. The theme throughout this book has been the criticality and emphasis on mature Data Governance, where active metadata is the glue that binds distributed data during its life cycle. Data Fabric is a technical approach that is positioned to address a diverse set of use cases.

At the time of writing this book, there has been a big shift toward distributed data management and achieving this via a Data Mesh, an organizational approach with specific data management principles. The accountability and responsibility of data management are moved to each business domain as opposed to a central IT organization leveraged across business domains. It has a federated Data Governance model that is accountable for global data policies and decision-making in order to adhere to government regulations...

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