Learning Spark / Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
Tipo de ítem | Biblioteca actual | Colección | número de clasificación | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras |
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Biblioteca Campus San Joaquín | Colección General | 006.312 K18 (Navegar estantería(Abre debajo)) | 1 | Disponible | 35609002082652 |
Subtítulo en cubierta : Lightning-fast data analysis.
Incluye índice
Introduction to data analysis with Spark -- Downloading Spark and getting started -- Programming with RDDs -- Working with key/value pairs -- Loading and saving your data -- Advanced Spark programming -- Running on a cluster -- Tuning and debugging Spark -- Spark SQL -- Spark streaming -- Machine learning with MLlib.
This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.-- Source other than Library of Congress.