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

Realizing a Data Fabric Technical Architecture

An implementation of a Data Fabric architecture consists of an ecosystem of different tools, data systems, and technologies. Beyond that, it requires the right set of capabilities and data processes that support Data Fabric principles. All these pieces work together as a cohesive automated ecosystem driven by a Data Fabric architecture design to create a connected fabric of data. There isn’t one strict path toward the implementation of a Data Fabric architecture. There are several variations of how you might choose to implement it guided by business goals and strategy. What’s important is to leverage the design guardrails discussed in this book to set you on the path toward the realization of a successful Data Fabric technical architecture.

In this chapter, we will cover the technical architecture of a Data Fabric and what tools, technologies, and capabilities are necessary and should be considered for what reasons. A...