Data Mesh: Delivering Data-Driven Value at Scale by Zhamak Dehghani
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Title: Data Mesh: A Paradigm Shift in Data Management
In "Data Mesh: A Paradigm Shift in Data Management," Zhamak Dehghani addresses the critical juncture where existing data management solutions fail to keep pace with the complexity of modern organizations, the surge in data sources, and the ambitious goals of leveraging data for AI and analytics. Dehghani introduces data mesh, a groundbreaking decentralized sociotechnical paradigm inspired by contemporary distributed architecture, offering a novel method for sourcing, sharing, accessing, and managing analytical data at scale.
This book serves as an essential guide for practitioners, architects, technical leaders, and decision-makers transitioning from traditional big data architectures to a distributed, multidimensional framework for analytical data management. Data mesh redefines data as a product, prioritizes domain-oriented decentralization, embraces platform thinking to establish self-serve data infrastructure, and employs a federated computational model for data governance.
Key insights and features of this guide include:
A comprehensive introduction to the principles and components of data mesh.
Detailed instructions on designing a data mesh architecture.
Strategic guidance for implementing and executing a data mesh framework.
Advice on navigating organizational changes toward decentralized data ownership.
A clear roadmap for moving beyond conventional data warehouses and lakes to a distributed data mesh model.
Dehghani's approach empowers organizations to better manage the scale and complexity of modern data environments, fostering greater agility, innovation, and value extraction from data. This practical book is invaluable for those seeking to understand and implement data mesh, providing the tools and knowledge necessary to revolutionize their data management practices. ❤️📚❤️
In "Data Mesh: A Paradigm Shift in Data Management," Zhamak Dehghani addresses the critical juncture where existing data management solutions fail to keep pace with the complexity of modern organizations, the surge in data sources, and the ambitious goals of leveraging data for AI and analytics. Dehghani introduces data mesh, a groundbreaking decentralized sociotechnical paradigm inspired by contemporary distributed architecture, offering a novel method for sourcing, sharing, accessing, and managing analytical data at scale.
This book serves as an essential guide for practitioners, architects, technical leaders, and decision-makers transitioning from traditional big data architectures to a distributed, multidimensional framework for analytical data management. Data mesh redefines data as a product, prioritizes domain-oriented decentralization, embraces platform thinking to establish self-serve data infrastructure, and employs a federated computational model for data governance.
Key insights and features of this guide include:
A comprehensive introduction to the principles and components of data mesh.
Detailed instructions on designing a data mesh architecture.
Strategic guidance for implementing and executing a data mesh framework.
Advice on navigating organizational changes toward decentralized data ownership.
A clear roadmap for moving beyond conventional data warehouses and lakes to a distributed data mesh model.
Dehghani's approach empowers organizations to better manage the scale and complexity of modern data environments, fostering greater agility, innovation, and value extraction from data. This practical book is invaluable for those seeking to understand and implement data mesh, providing the tools and knowledge necessary to revolutionize their data management practices. ❤️📚❤️
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