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Data Mesh: Delivering Data-Driven Value at Scale.

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ISBN: 9781492092391 | 270 pages | 7 Mb

• Data Mesh: Delivering Data-Driven Value at Scale
• Page: 270
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781492092391
• Publisher: O'Reilly Media, Incorporated

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Data Mesh: Delivering Data-Driven Value at Scale (Paperback) Data Mesh: Delivering Data-Driven Value at Scale (Paperback) next-generation data lake, hoping to democratize data at scale to provide business insights  New Releases in Software Testing - Amazon.com New Releases in Software Testing. #1. Data Mesh. Zhamak Dehghani. Kindle Edition. 1 offer from $59.99. #2. Data Mesh: Delivering Data-Driven Value at Scale. Data Mesh: Delivering Data-Driven Value at Scale - Amazon 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  Starburst Sponsors Groundbreaking New O'Reilly - WFMZ today announced its sponsorship of a new O'Reilly book called Data Mesh: Delivering Data-Driven Value at Scale by Zhamak. Delivering Data-Driven Value At Scale - TMCnet Starburst Sponsors Groundbreaking New O'Reilly Book by Zhamak Dehghani, Data Mesh: Delivering Data-Driven Value At Scale. Federated Development with Deployment at Scale - Teradata The Data Mesh offers us a framework for the federated development of data products by supporting the decomposition of the data platform into domain-oriented  Data Mesh: Delivering Data-Driven Value at Scale - Bookshop A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data Price: $69.99 $64.39Type: Paperback Data Mesh: Delivering Data-Driven Value at Scale (Paperback) A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and By: Zhamak DehghaniPublication Date: May 17th, 2022Publisher: O'Reilly Media Data Mesh [Book] - O'Reilly Media 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 

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