Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

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



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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann ebook
Page: 500
Publisher: O'Reilly Media, Incorporated
ISBN: 9781449373320
Format: pdf


Practical Object Oriented Design in Ruby by Sandi Metz is a fun read packed with good principles for working in Designing Data-Intensive Applications. Designing Data-Intensive Applications. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [Martin Kleppmann] on Amazon.com. Scores of database management systems across the Internet access and maintain large amounts of structured data for Back. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. ś�书Designing Data-Intensive Applications 介绍、书评、论坛及推荐. How does your database store data on disk reliably? The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Drawing from the experience of building scalable systems at LinkedIn and other startups, this talk explores why logs are such a fine idea: making it easier to maintain search Designing Data-Intensive Applications Big surprise: they use a log! Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Fishpond Australia, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Filename, : Joinebook.com_OReilly.Media.Designing.Data.Intensive.Applications .April.2015.pdf.





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