Learning Spark : Lightning-fast data analysis

By: Karau, HoldenContributor(s): Konwinski, Andy | Wendell, Patrick | Zaharia, MateiMaterial type: TextTextPublication details: Sebastopol (CA) : O'Reilly, 2015Edition: First editionDescription: xvi, 254 pages : illustrationsISBN: 9781449358624; 1449358624Subject(s): Big data | Data miningDDC classification: 006.3
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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Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 006.3 LEA (Browse shelf(Opens below)) Available 015470
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Subtitle on cover: Lightning-fast data analysis.

Includes index.

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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