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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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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

Product Details

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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 : 9781804613092
Category :

What do you get with eBook?

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Product Details

Publication date : Apr 06, 2023
Length: 188 pages
Edition : 1st
Language : English
ISBN-13 : 9781804613092
Category :

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Frequently bought together


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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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