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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
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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’s value proposition

Each building block in a Data Fabric architecture (Data Governance and its knowledge layer, Data Integration, and Self-Service) introduced in Chapter 1 offers a monumental amount of value from its sophisticated approach and focus. Figure 2.1 provides a summary of the value statements in Data Fabric’s building blocks.

Figure 2.1 – Business value via Data Fabric’s building blocks

Figure 2.1 – Business value via Data Fabric’s building blocks

Let’s discuss the value behind the Data Governance building block.

Trusting your decisions with governed data

Data Governance is a staple in achieving a successful data monetization strategy. In Data Fabric architecture, Data Governance is focused on producing high-quality, trusted, secure, discoverable, and understandable data. Data consumers rely on trusted data to address their business needs.

Let’s review the value proposition across the Data Governance pillars.

Protecting and securing critical...

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