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

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

RSC e-Books collections Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann 9781449373320 FB2 ePub CHM (English literature)

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
イベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. イベント日時, 2016年1月25日(月). The Big Ideas Behind Reliable, Scalable, and Maintainable Sys
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, Big Data: Principles and best practices of scalable realtime data 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. 1. Reliable, Scalable and Maintainable Applications - Designing
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. Using logs to build a solid data infrastructure (or: why - Confluent
How does your database store data on disk reliably? large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! English in Resources in Resources | Pentaho | Page 1
Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Pentaho 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 - Pentaho
Martin Kleppmann. Designing. Data-Intensive. Applications. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. AND MAINTAINABLE SYSTEMS. Compliments of Designing Data-Intensive Applications: The Big - Google Books
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Front Cover. Martin Kleppmann.

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