A01=Zhamak Dehghani
Author_Zhamak Dehghani
Category=UMZ
Data platform big data management analytical data architecture data architecture for ml data mesh data as a product self-serve data data discoverability data exploration data transformation data governance data liquidity data marketplace.
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eq_computing
eq_isMigrated=1
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eq_nobargain
eq_non-fiction
Product details
- ISBN 9781492092391
- Dimensions: 178 x 232mm
- Publication Date: 22 Mar 2022
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
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We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.
Get a complete introduction to data mesh principles and its constituents
Design a data mesh architecture
Guide a data mesh strategy and execution
Navigate organizational design to a decentralized data ownership model
Move beyond traditional data warehouses and lakes to a distributed data mesh
Zhamak Dehghani is a director of technology at ThoughtWorks, focusing on distributed systems architecture --- big data and operational systems -- in the enterprise. She's a member of the company's Technology Advisory Board and contributes to the creation of ThoughtWorks's Technology Radar. She is an advocate for decentralization of all things - architecture, data and ultimately power. She is the founder of data mesh.
