| Description |
1 online resource (1 volume) : illustrations |
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text file rda |
| Summary |
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. |
| Subject |
Storm (Computer file)
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Storm (Computer file) |
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Storm (Computer file) |
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Database management.
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Computer programming.
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Bases de données -- Gestion. |
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Programmation (Informatique) |
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computer programming. |
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Database management |
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Computer programming |
| Added Author |
Eisbruch, Gabriel.
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Simonassi, Dario.
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| Other Form: |
Print version: Leibiusky, Jonathan. Getting started with storm. Sebastopol, Calif. : O'reilly, 2012 9781449324018 (OCoLC)775415895 |
| ISBN |
1449324010 |
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9781449324018 |
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9781449324049 (electronic bk.) |
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1449324045 (electronic bk.) |
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9781449324056 (electronic bk.) |
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1449324053 (electronic bk.) |
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