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

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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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Part I. The Big Picture Chapter 1. Reliable, Scalable and Maintainable Applications Thinking About Data Systems Reliability Scalability Maintainability Chapter 2  Big Data Analytics in Resources in Resources | Pentaho | Page 1
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. Designing Data-Intensive Applications: Th… - Books | WHSmith
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A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. implementation detail behind a clean, simple-to-understand façade. Booktopia - Designing Data-Intensive Applications, The Big Ideas
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