Principles of Data Fabric Become a data-driven organization by implementing Data Fabric solutions efficiently
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Free Download Principles of Data Fabric
by Sonia Mezzetta
English | 2023 | ISBN: 1804615226 | 188 pages | True PDF EPUB | 6.78 MB
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
What is a Data Fabric?
Show me the Business Value
Do you need to choose a Data Fabric or a Data Mesh?
Applying Data Fabric to Data Engineering
Combining Data Fabric with Data Mesh and DataOps
Design a Data Integration Architecture
Design a Data Governance Architecture
Design of the DataOps Plane and Self-Service Plane
Implementing a Data Fabric Architecture
Industry Best Practices
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