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Principles of Data Fabric
Principles of Data Fabric

Principles of Data Fabric: Become a data-driven organization by implementing Data Fabric solutions efficiently

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Principles of Data Fabric

Introducing Data Fabric

Data Fabric is a distributed data architecture that connects scattered data across tools and systems with the objective of providing governed access to fit-for-purpose data at speed. Data Fabric focuses on Data Governance, Data Integration, and Self-Service data sharing. It leverages a sophisticated active metadata layer that captures knowledge derived from data and its operations, data relationships, and business context. Data Fabric continuously analyzes data management activities to recommend value-driven improvements. Data Fabric works with both centralized and decentralized data systems and supports diverse operational models. This book focuses on Data Fabric and describes its data management approach, differentiating design, and emphasis on automated Data Governance.

In this chapter, we’ll focus on understanding the definition of Data Fabric and why it’s important, as well as introducing its building blocks. By the end of this chapter, you’ll have an understanding of what a Data Fabric design is and why it’s essential.

In this chapter, we’ll cover the following topics:

  • What is Data Fabric?
  • Why is Data Fabric important?
  • Data Fabric building blocks
  • Operational Data Governance models

Note

The views expressed in the book belong to the author and do not necessarily represent the opinions or views of their employer, IBM.

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Key benefits

  • Learn to design Data Fabric architecture effectively with your choice of tool
  • Build and use a Data Fabric solution using DataOps and Data Mesh frameworks
  • Find out how to build Data Integration, Data Governance, and Self-Service analytics architecture

Description

Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered. The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You’ll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you’ll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles. By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.

Who is this book for?

If you are a data engineer, data architect, or business analyst who wants to learn all about implementing Data Fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate Data Fabric architecture into the broader ecosystem.

What you will learn

  • Understand the core components of Data Fabric solutions
  • Combine Data Fabric with Data Mesh and DataOps frameworks
  • Implement distributed data management and regulatory compliance using Data Fabric
  • Manage and enforce Data Governance with active metadata using Data Fabric
  • Explore industry best practices for effectively implementing a Data Fabric solution
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 06, 2023
Length: 188 pages
Edition : 1st
Language : English
ISBN-13 : 9781804615225
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Product Details

Publication date : Apr 06, 2023
Length: 188 pages
Edition : 1st
Language : English
ISBN-13 : 9781804615225
Category :
Tools :

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Table of Contents

15 Chapters
Part 1: The Building Blocks Chevron down icon Chevron up icon
Chapter 1: Introducing Data Fabric Chevron down icon Chevron up icon
Chapter 2: Show Me the Business Value Chevron down icon Chevron up icon
Part 2: Complementary Data Management Approaches and Strategies Chevron down icon Chevron up icon
Chapter 3: Choosing between Data Fabric and Data Mesh Chevron down icon Chevron up icon
Chapter 4: Introducing DataOps Chevron down icon Chevron up icon
Chapter 5: Building a Data Strategy Chevron down icon Chevron up icon
Part 3: Designing and Realizing Data Fabric Architecture Chevron down icon Chevron up icon
Chapter 6: Designing a Data Fabric Architecture Chevron down icon Chevron up icon
Chapter 7: Designing Data Governance Chevron down icon Chevron up icon
Chapter 8: Designing Data Integration and Self-Service Chevron down icon Chevron up icon
Chapter 9: Realizing a Data Fabric Technical Architecture Chevron down icon Chevron up icon
Chapter 10: Industry Best Practices Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Empty star icon 4
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4 star 100%
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Om S Jun 06, 2023
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
"Principles of Data Fabric" is a comprehensive guide that empowers data professionals to implement Data Fabric architecture effectively. The book covers key topics such as Data Integration, Sharing, and Protection, providing practical insights and industry best practices. It introduces the concept of DataOps and explores the integration of Data Fabric with DataOps and Data Mesh frameworks. Readers will learn to design Data Governance, Self-Service analytics, and distributed data management architectures. The book emphasizes the importance of regulatory compliance and offers guidance on industry best practices. Suitable for data engineers, architects, and analysts, as well as senior data professionals, this book equips readers with the knowledge and skills to drive a data-driven organization
Amazon Verified review Amazon
Vinoth Jun 07, 2023
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Book goes in depth over Data Fabric architecture and the value it brings to an organization. It covers topics on how to build and use a Data Fabric solution using DataOps and Data Mesh frameworks, designing a Data Fabric architecture, Data Governance, Data Integration , Self-Service analytics and best practices. Author clearly articulates the difference between Fabric ,Mesh and how they can be used together to drive value. Highly recommend this book for data engineer, data architect who are new to Data Fabric architecture and want to implement it
Amazon Verified review Amazon
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