Implementing Data Mesh

As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization.

In this book, Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code. Data engineers, architects, and analysts will explore a simple and intuitive process for identifying key data mesh components and data products. You’ll learn a consistent set of interfaces and access methods that make data products easy to consume.

This approach ensures that your data products are easily accessible and the data mesh ecosystem is easy to navigate. This book helps you:

• Identify, define, and build data products that interoperate within an enterprise data mesh
• Build a data mesh fabric that binds data products together
• Build and deploy data products in a data mesh
• Establish the organizational structure to operate data products, data platforms, and data fabric
• Learn an innovative architecture that brings data products and data fabric together into the data mesh

Table of Contents

Part I. The Basics

Chapter 1. Understanding Data Mesh: The Essentials

Chapter 2. Applying Data Mesh Principles

Chapter 3. Our Case Study: Climate Quantum Inc.

Part II. Designing, Building, and Deploying Data Mesh

Chapter 4. Defining the Data Mesh Architecture

Chapter 5. Driving Data Products with Data Contracts

Chapter 6. Building Your First Data Product

Chapter 7. Aligning with the Experience Planes

Chapter 8. Meshing Your Data Products

Part Ill. GenAI, Teams, Operating Model, and Roadmap for Data Mesh

Chapter 9. Running and Operating Your Data Mesh

Chapter 10. Creating a Data Mesh Marketplace

Chapter 11. Establishing Data Mesh Governance

Chapter 12. Understanding Data Product Supply Chains

Chapter 13. Integrating Data Mesh and Generative Al

Chapter 14. Establishing Data Mesh Teams

Chapter 15. Defining a Data Mesh Operating Model

Chapter 16. Establishing a Practical Data Mesh Roadmap

About the Authors

Jean-Georges “JG” Perrin is a technology leader focusing on building innovative and modern data platforms.

Eric Broda is a technology executive, practitioner, and founder of a boutique consulting firm that helps global enterprises realize value from data.