DOWNLOADSDesigning 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
Designing-Data-Intensive.pdf
ISBN:9781449373320 |500 pages |13 Mb
- 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 free ebooks for androidDesigning Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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.
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, structure their applications to make them scalable, reliable, and maintainable in the 博客來-Designing Data-intensive Applications: The Big Ideas Behind
書名:Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems,語言:英文,ISBN:9781449373320, Designing for Scalability with Erlang/OTP: Implementing Robust
Design and build complex, scalable commercial-grade systems with the Open Prime. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Big Data Enterprise Architecture: Overview | Data Intensive
Data ingestion in a Big Data system is a hard task, once you get In order to design a complete Data Ingestion Architecture and A complex enterprise application uses different kinds of data, and Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
[Free] Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 2016-02-21 Ruby Rogues: 207 Rebuilding Rails with Noah Gibbs - DevChat.TV
Designing Data-Intensive Applications The Big Ideas Behind Reliable, Scalable, and Maintainable Systems By Martin Kleppmann · Aphyr
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