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How to develop big data applications for Hadoop /
"Distributed applications running on Hadoop clusters can deliver powerful insights and results from the biggest data sets ever generated. But do you have to be a rocket scientist to use it? Fortunately, the answer is no. This tutorial will explain the theory of MapReduce and how to develop big...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico Congresos, conferencias Video |
| Idioma: | Inglés |
| Publicado: |
[United States?] :
O'Reilly Media,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a How to develop big data applications for Hadoop / |c by Ken Krugler [and others]. |
| 260 | |a [United States?] : |b O'Reilly Media, |c 2011. | ||
| 300 | |a 1 online resource (1 streaming video file (2 hr., 25 min., 31 sec.)) | ||
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| 518 | |a Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, CA. | ||
| 520 | |a "Distributed applications running on Hadoop clusters can deliver powerful insights and results from the biggest data sets ever generated. But do you have to be a rocket scientist to use it? Fortunately, the answer is no. This tutorial will explain the theory of MapReduce and how to develop big data applications in Java and higher level languages such as Pig and Hive SQL."--Resource description page. | ||
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