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Data Mesh: Delivering Data-Driven Value at Scale By Zhamak Dehghani

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In "Data Mesh: A New Paradigm for Analytical Data Management," Zhamak Dehghani presents a transformative approach to data architecture that addresses the growing complexity of organizations, the explosion of data sources, and the expanding aspirations to extract value from data through AI and analytics. This practical guide introduces data mesh, a decentralized sociotechnical paradigm inspired by modern distributed architecture, offering a novel method for sourcing, sharing, accessing, and managing analytical data at scale.

Dehghani expertly leads practitioners, architects, technical leaders, and decision-makers on a journey from traditional big data architectures to a distributed and multifaceted approach to data management. Data mesh shifts the perspective on data by treating it as a product, prioritizing domains, applying platform thinking to establish self-serve data infrastructure, and implementing a federated computational model for data governance.

Key highlights of the book include:

A comprehensive introduction to the principles and components of data mesh.
Detailed guidance on designing a data mesh architecture.
Strategic advice on planning and executing a data mesh implementation.
Insights on navigating organizational change towards decentralized data ownership.
A framework for moving beyond conventional data warehouses and lakes to embrace a distributed data mesh.
This book is an essential resource for those looking to revolutionize their approach to data management, offering practical strategies and insights to successfully adopt and implement a data mesh. By providing a thorough understanding of this new paradigm, Dehghani empowers readers to tackle the complexities of modern data environments and unlock the full potential of their analytical data. 📚❤️
Listed on 8 July, 2024