Getting Started with Storm

Evenas big data is turning the world upside down, the next phase of the revolutionis already taking shape: real-time data analysis. This hands-on guideintroduces you to Storm, a distributed, JVM-based system for processingstreaming data. Through simple tutorials, sample Java code, and a completereal-world scenario, you’ll learn how to build fast, fault-tolerant solutionsthat process results as soon as the data arrives.

Discoverhow easy it is to set up Storm clusters for solving various problems, includingcontinuous data computation, distributed remote procedure calls, and datastream processing.

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

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