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Learning Spark

By: Karau, Holden.
Contributor(s): Konwinski, Andy | Wendell, Patrick | Zaharia, Matei.
Material type: materialTypeLabelBookPublisher: New Delhi : SPD, 2015Description: xvi, 254 p. : ill. ; 24 cm.ISBN: 9789351109945.Subject(s): Spark (Electronic resource : Apache Software Foundation) | Big data | Data mining -- Computer programs
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.--
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Computer Science and Engineering 006.312 KAR-L (Browse shelf) Available 006120
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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.--

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