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 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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