Erschienen: 14.09.2012 Abbildung von Jonathan Leibiusky / Gabriel Eisbruch / Dario Simonassi | Getting Started with Storm | 2012

Jonathan Leibiusky / Gabriel Eisbruch / Dario Simonassi

Getting Started with Storm

2012. Buch. 103 S

O'Reilly. ISBN 978-1-4493-2401-8

In englischer Sprache

Produktbeschreibung

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


Discover how easy it is to set up Storm clusters for solving various problems, including continuous data computation, distributed remote procedure calls, and data stream processing

* Learn how to program Storm components: spouts for data input and bolts for data transformatio

* Discover how data is exchanged between spouts and bolts in a Storm topolog

* Make spouts fault-tolerant with several commonly used design strategie

* Explore bolts—their life cycle, strategies for design, and ways to implement the

* Scale your solution by defining each component’s level of parallelis

* Study a real-time web analytics system built with Node.js, a Redis server, and a Storm topolog

* Write spouts and bolts with non-JVM languages such as Python, Ruby, and Javascript

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