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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

A data strategy captures an organization’s starting point, journey, goals, solutions, and target destination in order to become a data-driven enterprise. Organizations first need to recognize and understand how and why to manage data as an asset and a Data Product.

In this chapter, we discussed the value of a data strategy document enabling organizations to have a vision and plan to achieve profitable revenue and cost savings by leveraging data. We provided guidance on creating a data strategy and emphasized that it must have a business point of view across people, processes, and technology. We highlighted three popular data maturity frameworks (DMBOK, DCAM, and Gartner’s) and recommended completing a data maturity assessment as input for a data strategy. We also covered the implementation of a data strategy document and offered an example that aligned DAMA’s data maturity areas with a Data Fabric. Data management, Data Governance, Data Privacy, and...

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