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

Data Fabric’s value proposition

Each building block in a Data Fabric architecture (Data Governance and its knowledge layer, Data Integration, and Self-Service) introduced in Chapter 1 offers a monumental amount of value from its sophisticated approach and focus. Figure 2.1 provides a summary of the value statements in Data Fabric’s building blocks.

Figure 2.1 – Business value via Data Fabric’s building blocks

Figure 2.1 – Business value via Data Fabric’s building blocks

Let’s discuss the value behind the Data Governance building block.

Trusting your decisions with governed data

Data Governance is a staple in achieving a successful data monetization strategy. In Data Fabric architecture, Data Governance is focused on producing high-quality, trusted, secure, discoverable, and understandable data. Data consumers rely on trusted data to address their business needs.

Let’s review the value proposition across the Data Governance pillars.

Protecting and securing critical...