Pro Hadoop
You've heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open-source (thus free). But wha...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
c2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Expert's voice in open source.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627503306719 |
Tabla de Contenidos:
- Getting Started with Hadoop Core
- The Basics of a MapReduce Job
- The Basics of Multimachine Clusters
- HDFS details for Multimachine Clusters
- MapReduce Details for Multimachine Clusters
- Tuning Your MapReduce Jobs
- Unit Testing and Debugging
- Advanced and Alternate MapReduce Techniques
- Solving Problems with Hadoop
- Projects Based On Hadoop and Future Directions.
