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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

Show Me the Business Value

Business value is measured by the success of profit and revenue. In data management, this translates into the ability to monetize data. Pain points in data management often lead to cost-intensive business operations or the loss of business opportunities, impacting revenue. Data Fabric architecture addresses common complexities in distributed data management, such as data silos, data protection, and data democratization. Data Fabric is able to tackle a diverse set of pain points via its core building blocks – Data Governance, Data Integration, and Self-Service. Each building block has an area of specialty that works cohesively with the other building blocks, leading to higher profits and cost savings.

This chapter defines what digital transformation is, the role of data monetization, and Data Fabric’s value proposition. It reviews the benefits of Data Fabric architecture and its applicability across organizations. By the end of this chapter...

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