Getting started with storm
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...
| Autor principal: | |
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| Otros Autores: | , , , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, California :
O'Reilly
2012.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628619606719 |
| Sumario: | 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. |
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| Notas: | "Continuous streaming computation with Twitter's cluster technology"--Cover. |
| Descripción Física: | 1 online resource (105 p.) |
| ISBN: | 9781306812788 9781449324049 9781449324056 |
