[PDF.68ab] Getting Started with Storm: Continuous Streaming Computation with Twitter's Cluster Technology
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Getting Started with Storm: Continuous Streaming Computation with Twitter's Cluster Technology
Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi
[PDF.pq08] Getting Started with Storm: Continuous Streaming Computation with Twitter's Cluster Technology
Getting Started with Storm: Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi epub Getting Started with Storm: Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi pdf download Getting Started with Storm: Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi pdf file Getting Started with Storm: Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi audiobook Getting Started with Storm: Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi book review Getting Started with Storm: Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi summary
| #2070920 in Books | O'Reilly Media | 2012-09-20 | 2012-09-17 | Original language:English | PDF # 1 | 9.19 x.22 x7.00l,.40 | File type: PDF | 106 pages | ||10 of 10 people found the following review helpful.| Save your money|By sratclif@vt.edu|The little bit of worthwhile content is overshadowed by the (apparent) complete lack of editing of the text and code examples. Incomprehensible at times. Really disappointing. Sorry|2 of 2 people found the following review helpful.| Poorly written; out of date|By Customer|During these times|About the Author|
|Jonathan has been working in software development for more than 10 years. In the last 3 years he has developed and contributed to several new and existing open source projects, including "Jedis," which is being used actively by VMWare, Spr
Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you’ll learn how to build fast, fault-tolerant solutions that process results as soon as the data arrives.
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