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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable …

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books for data engineering?
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppm…

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Top Books on Reddit in 2018 rank no. 103

books for data engineering?(r/devops)

landing.google.com/sre/books/

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SRE book is free, workbook is not.

cloud.google.com/solutions/best-practices-for-oper…

cloud.google.com/solutions/about-capacity-optimiza…

Some of this is google cloud specific but the principles are the same with on-prem or a different provider. “State-of-the-art” deployments are usually learned by using best practices since each distributed app’s deployment will vary. These books will help with best practices:

www.amazon.com/Microservices-Patterns-examples-Chr…

www.amazon.com/Designing-Data-Intensive-Applicatio…

www.amazon.com/Designing-Distributed-Systems-Patte…

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Subreddits

dataengineering,datascience,PostgreSQL,devops,cscareerquestions

Number Of Links

11

Amazon Price

$0.31980000000000003

Book Binding

Paperback

Type Code

ABIS_EBOOKS

Book Author

Martin Kleppmann

Book Edition

1

Book Publisher

O’Reilly Media

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable …

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