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
ISBN: 9781449373320
Page: 500
Format: pdf
Publisher: O'Reilly Media, Incorporated


The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Designing Data-Intensive Applications. Practical Object Oriented Design in Ruby by Sandi Metz is a fun read packed with good principles for working in Designing Data-Intensive Applications. Implementation detail behind a clean, simple-to-understand façade. Filename, : Joinebook.com_OReilly.Media.Designing.Data.Intensive.Applications .April.2015.pdf. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Scores of database management systems across the Internet access and maintain large amounts of structured data for Back. Ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.





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