Book Image

Principles of Data Fabric

By : Sonia Mezzetta
Book Image

Principles of Data Fabric

By: Sonia Mezzetta

Overview of this book

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.
Table of Contents (16 chapters)
Part 1: The Building Blocks
Part 2: Complementary Data Management Approaches and Strategies
Part 3: Designing and Realizing Data Fabric Architecture


In this chapter, we discussed the business value of Data Fabric architecture. We spoke about the value proposition of each of Data Fabric’s building blocks. We have also posited Data Fabric architecture as a strategic approach to successful data monetization. The Data Fabric building blocks – Data Governance, Data Integration, and Self-Service – work together to deliver data that can lead to highly profitable revenue and operational efficiency. We have also reviewed real-life examples showcasing millions of dollars lost by organizations not having the right data architecture and strategy in place. We have also discussed the value Data Fabric architecture can offer large, medium-sized, and small organizations. Data Fabric can substantially provide a huge return on investment across organizations focused on digital transformation.

In the next chapter, we will review Data Mesh architecture and discuss how the Data Fabric and Data Mesh architectures are...