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.Learn how to program Storm components: spouts for data input and bolts for data transformation
Discover how data is exchanged between spouts and bolts in a Storm topology
Make spouts fault-tolerant with several commonly used design strategies
Explore bolts—their life cycle, strategies for design, and ways to implement them
Scale your solution by defining each component’s level of parallelism
Study a real-time web analytics system built with Node.js, a Redis server, and a Storm topology
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.
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Publisher: O'Reilly Media
Page Count (est.): 106
Pub Date: 9/17/2012