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Designing Cloud Data Platforms
book

Designing Cloud Data Platforms

by Lynda Partner, Danil Zburivsky
May 2021
Beginner to intermediate
336 pages
11h
English
Manning Publications
Audiobook available
Content preview from Designing Cloud Data Platforms

3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google

This chapter covers

  • Designing a flexible and scalable six-layer data platform architecture
  • Understanding how layers support both batch and streaming data
  • Ensuring the right foundational components for easier management
  • Implementing a modern cloud data platform in AWS, Google, or Azure

Chapter 2 covered setting up a simple data platform made up of a data lake and a data warehouse in the cloud, with simple batch pipelines to ingest data. It also laid out the pros and cons of a data lake versus a data warehouse versus a combination of the two to produce the best analysis outcomes.

In this chapter, we’ll build on the data platform architecture concepts introduced in ...

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Publisher Resources

ISBN: 9781617296444Publisher SupportPublisher Website