Principles of Data Fabric

✍ Scribed by Sonia Mezzetta

• Publisher: Packt
• Year: 2023
• Tongue: English
• Leaves: 258
• Edition: 1
• Category: Library

✦ Synopsis

Apply data fabric solutions to automate data integration, data sharing, and data protection across disparate data sources without moving your data

Purchase of the print or Kindle book includes a free PDF eBook
Key Features

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

Book 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, 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 solutions, 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 fabrics 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. Toward the end of the book, you’ll learn how to implement data privacy and data marketplace using data fabrics with the help of industry best practices.

By the end of this data book, you will have a clear understanding of what data fabric is and what architecture looks like, along with the level of effort that goes into designing a data fabric solution.
What you will learn

Understand the core components of data fabric solutions
Combine data fabrics with data mesh and DataOps frameworks
Implement a data marketplace by utilizing data fabric capabilities
Apply data observability to prevent failure
Manage and enforce data privacy using data fabrics
Explore industry best practices for effectively implementing a data fabric solution

Who This Book Is 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.

✦ Table of Contents

Cover Page
Table of Contents
Preface
Part 1: The Building Blocks
Chapter 1: Introducing Data Fabric
What is Data Fabric?
Why is Data Fabric important?
Data Fabric building blocks
Operational Data Governance models
Summary
Chapter 2: Show Me the Business Value
Digital transformation
Data monetization
Data Fabric’s value proposition
Data Fabric for large, medium, and small enterprises
Summary
Part 2: Complementary Data Management Approaches and Strategies
Chapter 3: Choosing between Data Fabric and Data Mesh
Introducing Data Mesh
Comparing Data Fabric and Data Mesh
Data Fabric and Data Mesh’s friendship
Summary
Chapter 4: Introducing DataOps
What is DataOps?
DataOps’ value
Data Fabric with DataOps
Summary
Chapter 5: Building a Data Strategy
Why create a data strategy?
Creating a data strategy
Data strategy implementation
Summary
Part 3: Designing and Realizing Data Fabric Architecture
Chapter 6: Designing a Data Fabric Architecture
Introduction to enterprise architecture
Data Fabric principles
Data Fabric architecture layers
Summary
Chapter 7: Designing Data Governance
Data Governance architecture
Metadata as a service
The Data Governance layer
The Data Fabric’s governance applied
Summary
Chapter 8: Designing Data Integration and Self-Service
DataOps-based architecture
Data Integration layer
Self-Service layer
Data journey in a Data Fabric architecture
Data Fabric reference architecture
Summary
Chapter 9: Realizing a Data Fabric Technical Architecture
Technical Data Fabric architecture
Use cases
Data Mesh multi-plane requirements
Data Fabric with Data Mesh reference architecture
Summary
Chapter 10: Industry Best Practices
Top 16 best practices
Data strategy best practices
Data architecture best practices
Data Integration and Self-Service best practices
Data Governance best practices
Summary
Index
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