Getting Started with Storm
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Getting Started with Storm Description
Even as data is turning the world upside down, the next revolution is taking shape: realtime data analysis. Data tools like Hadoop are batch-oriented; they're good at taking a set of data, analyzing it, and giving you the result later.
Details
| OPC | PDRWMZQ |
|---|---|
| Codes | 1449324010 (ISBN-10) |
| 9781449324018 (ISBN) |
Disclaimer: The information below is provided by various external sources and should be used as a guide only.
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
Alternative names:
- O'Reilly Getting Started with Storm software manual 106 pages
Detailed Product Information
Performance
| Genre | Office software |
|---|---|
| Release date (DD/MM/YYYY) | 08/2012 |
| Number of pages | 106 pages |
| Written by | O'Reilly Media |
| Publisher | O'Reilly Media |
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