Principles of Data Fabric

eBook Details:

• Paperback: 188 pages
• Publisher: WOW! eBook (April 6, 2023)
• Language: English
• ISBN-10: 1804615226
• ISBN-13: 978-1804615225

eBook Description:

Principles of Data Fabric: Apply Data Fabric solutions to automate Data Integration, Data Sharing, and Data Protection across disparate data sources using different data management styles

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.

• 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

By the end of this Principles of Data Fabric 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.