Designing Cloud Data Platforms
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.
Read More ↓Title Statements
- Full title :Designing Cloud Data Platforms / Zburivsky, Danil.
Summary
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.
Read More ↓Edition Statements
- Publication Date:2021.
- Edition:1st edition
Publication Statements
- Publisher(s):Manning Publications
- Language:eng
- Publication Date:2021.
The Physical Object
- Description:1 online resource (336 pages)
Edition Identifiers
- ISBN:1617296449, 9781617296444
- oclc:on1251830753
- LC Classification:QA76.585
- Dewey Decimal:004.67/82
Table of 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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