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

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

Download epub books for kobo Designing 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.

O'Reilly eBook: Designing Data Intensive Applications - InvestBrite
It looks at examples of successful data systems and discusses their THE BIG IDEAS BEHIND RELIABLE, SCALABLE, AND MAINTAINABLE  Designing Data-Intensive Applications by Martin Kleppmann
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback). Martin Kleppmann. Be the first to write  Embedded Analytics 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
Part I. The Big Picture Chapter 1. Reliable, Scalable and Maintainable Applications Thinking About Data Systems Reliability Scalability Maintainability Chapter 2  English Resources | Big Data Analytics in Resources | Pentaho
Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Data Integration Resources in Resources | Pentaho | Page 1
Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Pentaho 5.4 expands on a Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook. 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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