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Designing cloud data platforms /

Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you'll maximize performance no matter which cloud vendor you use. In Designing cloud data plat...

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Bibliographic Details
Main Authors: Zburivsky, Danil
Group Author: Partner, Lynda
Published: Manning Publications Co.,
Publisher Address: Shelter Island, NY :
Publication Dates: [2021]
Literature type: Book
Language: English
Subjects:
Cloud computing > Design.
Database design.
Database management.
Data mining.
Cloud computing.
Summary: Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you'll maximize performance no matter which cloud vendor you use. In Designing cloud data platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.
Item Description: Includes index.
Carrier Form: xix, 313 pages : illustrations, forms ; 24 cm
ISBN: 9781617296444
1617296449
Index Number: QA76
CLC: TP311.13
TP393.027
Call Number: TP393.027/Z399
Contents: 1. Introducing the data platform -- 2. Why a data platform and not just a data warehouse -- 3. Getting bigger and leveraging the big 3: Amazon, Microsoft Azure, and Google -- 4. Getting data into the platform -- 5. Organizing and processing data -- 6. Real-time data processing and analytics -- 7. Metadata layer architecture -- 8. Schema management -- 9. Data access and security -- 10. Fueling business value with data platforms.

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