"Data Mesh" is a groundbreaking book that introduces a new way of designing and operating data infrastructure for modern enterprises. Drawing from real-world experiences and case studies, the book presents a decentralized approach to managing data, where small, cross-functional teams take ownership of their data domains and build self-contained data products.

The book explores the challenges that traditional centralized data architecture faces in the age of cloud computing, big data, and AI. It explains how Data Mesh can help enterprises achieve scalability, resilience, and agility in their data infrastructure while empowering individual teams to make decisions and innovate at their own pace.

The book covers the key principles, patterns, and practices of Data Mesh, including data product thinking, domain-driven design, data as a product, federated data governance, and infrastructure automation. It also provides practical guidance on how to get started with Data Mesh, how to measure success, and how to overcome common obstacles.

Whether you are a data engineer, data architect, data scientist, or business leader, "Data Mesh" offers a fresh perspective on how to harness the power of data for your organization. It is a must-read for anyone interested in building scalable, resilient, and decentralized data infrastructure for the enterprise.