Part 1: Rolling Out the Data Mesh in the Azure Cloud

Part 1 starts with the theory of the data mesh architecture as described by Zhamak Dehghani in her original whitepaper (https://www.thoughtworks.com/insights/whitepapers/the-data-mesh-shift) and maps it to Microsoft Azure’s Well-Architected Framework, Cloud Adoption Framework, and cloud-scale analytics framework. Crossing this chasm is difficult for companies. This section will make it easier to understand the theory and apply it to your Microsoft Azure-based analytical systems. Whether you already have an existing central analytical system that you wish to migrate to a data mesh architecture or you are building an analytical system from the ground up, this part of the book will help you pave the way forward to adopt the data mesh architecture on Microsoft Azure.

This part has the following chapters:

• Chapter 1, Introducing Data Meshes
• Chapter 2, Building a Data Mesh Strategy
• Chapter 3, Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
• Chapter 4, Building a Data Mesh Governance Framework Using Microsoft Azure Services
• Chapter 5, Security Architecture for Data Meshes
• Chapter 6, Automating Deployment through Azure Resource Manager and Azure DevOps
• Chapter 7, Building a Self-Service Portal for Common Data Mesh Operations