Learning spark lightning-fast big data analytics
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3 , this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through s...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, California :
O'Reilly
2015.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629217906719 |
| Sumario: | Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3 , this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. |
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| Notas: | Includes index. |
| Descripción Física: | 1 online resource (274 p.) |
| ISBN: | 9781449359058 9781449359034 9781449359065 |
