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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

Summary

In this chapter, we discussed the business value of Data Fabric architecture. We spoke about the value proposition of each of Data Fabric’s building blocks. We have also posited Data Fabric architecture as a strategic approach to successful data monetization. The Data Fabric building blocks – Data Governance, Data Integration, and Self-Service – work together to deliver data that can lead to highly profitable revenue and operational efficiency. We have also reviewed real-life examples showcasing millions of dollars lost by organizations not having the right data architecture and strategy in place. We have also discussed the value Data Fabric architecture can offer large, medium-sized, and small organizations. Data Fabric can substantially provide a huge return on investment across organizations focused on digital transformation.

In the next chapter, we will review Data Mesh architecture and discuss how the Data Fabric and Data Mesh architectures are...

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