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Data Mesh
Delivering Data-Driven Value at Scale
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Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations. A distributed Data Mesh is a better choice. This book shows you why and how.
- Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures
- Analyze the landscape’s underlying characteristics and failure modes
- Get a complete introduction to Data Mesh principles and its constituents
- Learn how to design a Data Mesh architecture
- Move beyond a monolithic data lake to a distributed Data Mesh
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Meet the Author
Zhamak Dehghani
Director of Emerging Technologies, ThoughtWorks
Zhamak Dehghani works with ThoughtWorks as the director of emerging technologies in North America, with a focus on distributed systems and data architecture. She has a deep passion for decentralized technology solutions and has founded the concept of Data Mesh. She is a member of ThoughtWorks Technology Advisory Board and contributes to the creation of ThoughtWorks Technology Radar. Zhamak has worked as a software engineer and architect for over 20 years and has contributed to multiple patents in distributed computing communications, as well as embedded device technologies.
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