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Even as big data is turning the world upside down, the nextphase of the revolution is already taking shape: real-time dataanalysis. This hands-on guide introduces you to Storm, adistributed, JVM-based system for processing streaming data.Through simple tutorials, sample Java code, and a completereal-world scenario, youll learn how to build fast, fault-tolerantsolutions that process results as soon as the data arrives.
Discover how easy it is to set up Storm clusters for solvingvarious problems, including continuous data computation,distributed remote procedure calls, and data stream processing.
Learn how to program Storm components: spouts for data input andbolts for data transformation
Discover how data is exchanged between spouts and bolts in aStorm topology
Make spouts fault-tolerant with several commonly used designstrategies
Explore bolts-their life cycle, strategies for design, and waysto implement them
Scale your solution by defining each components level ofparallelism
Study a real-time web analytics system built with Node.js, aRedis server, and a Storm topology