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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

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781804615225

Length 188 pages

Edition 1st Edition

Tools

Combine

Concepts

Data Engineering

Authors (2):

DR. Tommy Dang

Sonia Mezzetta

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Table of Contents (16) Chapters

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

Why subscribe?

15. Other Books You May Enjoy

Data journey in a Data Fabric architecture

The best way to understand of how a Data Fabric architecture handles data is to look at it from a journey standpoint. We will follow the same approach as we did in explaining the Data Governance layer in Chapter 7. Technical capabilities within a Data Fabric architecture enable the development of data and its delivery. DataOps principles act as a medium in the deployment of data within the Data Integration and Self-Service layers of a Data Fabric architecture. DataOps focuses on efficiencies and quality control in the development, deployment, and delivery of data.

Data travels through five logical phases in a data life cycle across the Data Fabric architecture:

Create
Ingest
Integrate
Consume
Archive and destroy

DataOps has its own cycle with specific activities that guide the development of data from the create to the consume phase. The stages in DataOps consist of development, orchestration, testing, deployment...

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Authors (1)

Sonia Mezzetta

Sonia Mezzetta

Sonia Mezzetta is a senior certified IBM architect working as a Data Fabric Program Director. She has an eye for detail and enjoys problem solving data pain points. She started her data management career in IBM as a data architect specializing in enterprise architectures. She is an expert in Data Fabric, DataOps, Data Governance, and Data Analytics. With over 20 years of experience, she has designed and architected several Enterprise data solutions. She has authored numerous data management white papers and has a master's and bachelor's degree in Computer Science. Sonia is originally from New York City, and currently resides in the area of Westchester County, New York.

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