OREILLY DATA MESH

In Data Mesh: Delivering Data-Driven Value at Scale, author Zhamak Dehghani addresses the critical challenges organizations face with their data management solutions amid an increasingly complex landscape of data sources and analytics aspirations. This practical guide introduces the concept of data mesh—a decentralized sociotechnical paradigm inspired by modern distributed architecture that transforms how organizations source, share, access, and manage analytical data at scale.

Dehghani provides a roadmap for practitioners, architects, technical leaders, and decision-makers transitioning from traditional big data architecture to a more distributed and multidimensional approach to data management. The data mesh philosophy treats data as a product, prioritizes domain-centric thinking, and emphasizes self-serve data infrastructure through platform principles. Additionally, it presents a federated computational model for data governance.

Readers will gain a comprehensive understanding of data mesh principles, learn how to design a data mesh architecture, develop a data mesh strategy and execution plan, and navigate the organizational shift toward decentralized data ownership. This book equips organizations to move beyond conventional data warehouses and lakes, embracing a distributed data mesh that enhances data-driven value creation at scale.