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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

Self-Service layer

The Self-Service layer’s main objective is to democratize data. It enables the exploration and use of high-value data. The Self-Service layer continues from where the Data Integration layer left off. A Self-Service architecture has a focused role in enabling the sharing and consumption of data via Self-Service processes. It works with the Data Governance layer to govern and protect data while unlocking its use across diverse systems. Metadata- and event-driven architectures introduced in the Data Governance layer are relied upon. The Self-Service layer also relies on the Data Integration layer to facilitate, via automated means, the delivery of data to data consumers. Data consumption is typically read-only, however, exceptions are possible and need to be designed into the architecture. An example is the need for special privileges for superusers.

There is also the notion of enabling data consumers via Self-Service data composability capabilities to customize...

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