The text discusses how to build a data mesh using event streams powered by Confluent Cloud, highlighting design decisions and key benefits and challenges. The data mesh concept was introduced to address traditional analytic architectures' flaws, such as brittleness, messiness, and slowness to change. It aims to move from centralized to decentralized data management, placing responsibility for ensuring clean, available, and reliable data on domain teams rather than central data teams. The text explains how event streams are the primary building block of a data mesh, providing a secure, governed, real-time mechanism for moving data between different points in the mesh. It also discusses the importance of self-service, federated governance, and lineage tracking in implementing a successful data mesh. The authors provide a prototype implementation to demonstrate these concepts and encourage readers to build their own data mesh prototypes.