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Detalles bibliogr�ficos

T�tulo

Programming Pig: Dataflow Scripting with Hadoop

Editor

O'Reilly Media

Fecha de publicaci�n

2011

Idioma

Ingl�s

ISBN 10

1449302645

ISBN 13

9781449302641

Encuadernaci�n

Soft cover

Edici�n

1st Edition

Estado

As New

Estado de la sobrecubierta

As New

Cat�logos de vendedores

D: BUSINESS & ECONOMICS: Investing, Capitalism,...

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Sinopsis

This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application�making it easy for you to experiment with new datasets.

Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently with Pig.

Delve into Pig�s data model, including scalar and complex data types
Write Pig Latin scripts to sort, group, join, project, and filter your data
Use Grunt to work with the Hadoop Distributed File System (HDFS)
Build complex data processing pipelines with Pig�s macros and modularity features
Embed Pig Latin in Python for iterative processing and other advanced tasks
Create your own load and store functions to handle data formats and storage mechanisms
Get performance tips for running scripts on Hadoop clusters in less time

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Alan Gates, a member of Yahoo's Pig development team, is responsible for company's implementation of the language, including programming interfaces and the overall design. He has presented Pig at numerous conferences and user groups, universities, and at companies using Pig. Alan oversaw the rewriting of nearly the entire code base when Pig moved from a research project to a production project.

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