Part 2: Practical Challenges of Implementing a Data Mesh

Even after mapping the theory to a practical architecture, there still are several challenges and some big gaps to fill. These are typically systems that are critical to the success of the data mesh but have no out-of-the-box solution, and hence, need to be built or bought. In this part of the book, we will discuss some of these big rocks, such as data contracts, master data management, data quality, data mesh monitoring, and others. We will understand the requirements of each and learn how to build these capabilities in your data mesh.

• Chapter 8, How to Design, Build, and Manage Data Contracts
• Chapter 9, Data Quality Management
• Chapter 10, Master Data Management
• Chapter 11, Monitoring and Data Observability
• Chapter 12, Monitoring Data Mesh Costs and Building a Cross-Charging Model
• Chapter 13, Understanding Data-Sharing Topologies in a Data Mesh