Programming Pig

Programming Pig

by Alan Gates
     
 

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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.

This fully updated edition of Programming Pig introduces new users to

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Overview

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.

This fully updated edition of 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.

Product Details

ISBN-13:
9781449302641
Publisher:
O'Reilly Media, Incorporated
Publication date:
10/20/2011
Pages:
224
Sales rank:
768,724
Product dimensions:
6.90(w) x 9.10(h) x 0.60(d)

Meet the Author

Alan is co-founder of Hortonworks and an original member of the engineering team that took Pig from a Yahoo! Labs research project to a successful Apache open source project. Alan also designed HCatalog and guided its adoption as an Apache Incubator project. Alan has a BS in Mathematics from Oregon State University and a MA in Theology from Fuller Theological Seminary. He is also the author of Programming Pig, a book from O’Reilly Press. Follow Alan on Twitter: @alanfgates.

Daniel is an Apache Pig PMC member/committer involved with Pig for 6 years at Yahoo and now at Hortonworks. He has a PhD in Computer Science from University of Central Florida, with a specialization in distributed computing, data mining and computer security.

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