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

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


Designing-Data-Intensive.pdf
ISBN: 9781449373320 | 500 pages | 13 Mb

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  • Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
  • Martin Kleppmann
  • Page: 500
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9781449373320
  • Publisher: O'Reilly Media, Incorporated
Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems


Read books online for free to download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (English literature) 9781449373320

Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term? This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Tools at your disposal are evolving and demands on applications are increasing, but the principles behind them remain the same. You’ll learn how to determine what kind of tool is appropriate for which purpose, and how certain tools can be combined to form the foundation of a good application architecture. You’ll learn how to develop an intuition for what your systems are doing, so that you’re better able to track down any problems that arise.

Designing Data-Intensive Applications: The Big Ideas Behind
Chapter 1 discusses how to build reliable, scalable, and maintainable applications. You'll learn how to think about designing data systems, where errors  The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems This book examines the key  Data Intensive | Big Data Intensive Architectures
A systematic way of approaching Big Data complex projects. This framework is a template for design data pipelines with different requirements: such as Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). Designing Data-Intensive Applications: The Big Ideas Behind
reviews and review ratings for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems at Amazon.com. Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Price: $28.06; Rating: 0 out of 5 (0 ratings). Data Integration eBook - Pentaho
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook. Product: Data Integration, Big Data  Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 9781449373320: Books  Designing Data- Intensive Applications - Pentaho
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).



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