| Description |
1 online resource (xvi, 254 pages) : illustrations |
| Note |
Includes index. |
| Contents |
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. |
| Summary |
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. |
| Subject |
ApacheSpark.
|
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Big data.
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Machine learning.
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Données volumineuses. |
|
Apprentissage automatique. |
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Big data |
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Machine learning |
| Other Form: |
Print version: Karau, Holden. Learning Spark. First edition. Beijing : O'Reilly, [2015] 9781449358624 (OCoLC)844872440 |
| ISBN |
9781449359065 (e-book) |
|
144935906X (e-book) |
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(pbk.) |
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(pbk.) |
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