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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

Designing Data Governance

The job of the Data Governance layer in a Data Fabric architecture is to govern, protect, secure, and enable the discovery and understanding of data. A Data Governance layer in a Data Fabric builds a connected data ecosystem with metadata, embedding Data Quality, Data Lineage, Data Security, Protection and Privacy, and Master Data Management (MDM) into every phase of the life cycle of data. It is driven by an active metadata-infused framework that enables enforcement and automation.

In this chapter, we’ll review the design of the Data Governance layer in a Data Fabric architecture. We’ll discuss its metadata-driven and Event-Driven Architecture (EDA) patterns. Finally, we’ll step through how the Data Governance layer is applied to the data life cycle.

In this chapter, we’ll cover the following topics:

  • Data Governance architecture
  • Metadata as a service
  • The Data Governance layer
  • Data Fabric’s governance...
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