Designing Cloud Data Platforms

Last update: 25 Apr 2025

Designing Cloud Data Platforms

Authors: Danil Zburivsky and Lynda Partner

ISBN: 9781617296444

Publisher: Manning

Year: 2021

Designing Cloud Data Platforms by Manning offers a useful overview for data engineers, software architects and experienced developers working with cloud data solutions.

The book effectively describes various architectural approaches, providing a balance of theoretical explanation and practical considerations. The inclusion of pros and cons for each architecture is a helpful element.

The identification and description of relevant product offerings from AWS, Azure, and Google Cloud are also beneficial, given the extensive range of services available.

The book addresses practical challenges such as data deduplication and file organization for batch processing with a pragmatic perspective.

The authors' experience in the field is apparent and contributes to a knowledgeable presentation of the material.

In conclusion, "Designing Cloud Data Platforms" is a warmly recommended read for all architects and developers looking to build robust and scalable data solutions in the cloud. It offers a strong blend of theory, practical guidance, and real-world insights that make it an invaluable addition to any technical library.