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Data Mesh: Delivering Data-Driven Value at Scale

Data Mesh: Delivering Data-Driven Value at Scale

Data Mesh: Delivering Data-Driven Value at Scale
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Data Mesh: Delivering Data-Driven Value at Scale Paperback - 2022

by Dehghani, Zhamak

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O'Reilly Media, 4/12/2022 12:00:01 A. paperback. Good. 0.8661 in x 9.1732 in x 7.0472 in.
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Details

  • Title Data Mesh: Delivering Data-Driven Value at Scale
  • Author Dehghani, Zhamak
  • Binding Paperback
  • Condition Used - Good
  • Pages 384
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media
  • Publication date 4/12/2022 12:00:01 A
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # mon0000598566
  • ISBN 9781492092391 / 1492092398
  • Weight 1.35 lbs (0.61 kg)
  • Dimensions 9.19 x 7 x 0.8 in (23.34 x 17.78 x 2.03 cm)
  • Size 0.8661 in x 9.1732 in x 7.0472 i
  • Category Computers - General Information
  • Library of Congress subjects Database management, Information technology - Management
  • Dewey Decimal Code 005.7
  • Quantity available 1

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From the publisher

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

About the author

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.

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