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

Mobile ebooks free download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 9781449373320


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

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Mobile ebooks free download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 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.

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The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc). Using logs to build a solid data infrastructure (or: why dual writes are
How does your database store data on disk reliably? 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! 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
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. by Martin Kleppmann. Want to know how the best  messaging | Data Intensive
A systematic way of approaching Big Data complex projects. In order to design a complete Data Ingestion Architecture and choose the right tools for it, 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 - Hive
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.



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