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Item Information       Summary     More Content     More by this author     Gates, Alan, author.     Subjects     Apache Pig (Computer file)     Programming languages (Electronic computers) -- Handbooks, manuals, etc.     Open source software.     Pig Latin (Computer program language)     Browse Catalog     by author:      Gates, Alan, author.       by title:      Programming Pig [ele...         MARC Display

Programming Pig [electronic resource] / Alan Gates and Daniel Dai. by Gates, Alan, author. Sebastopol, CA : O'Reilly Media, Inc., 2016. Subjects Apache Pig (Computer file)   Programming languages (Electronic computers) -- Handbooks, manuals, etc.   Open source software.   Pig Latin (Computer program language) Electronic Resource http://link.overdrive.com/?websiteID=50&titleID=3040030 This title is available online; click here to access Electronic Resource http://samples.overdrive.com/?crid=a12240b5-cab1-40c5-88f7-34ec1db5370c&.epub-sample.overdrive.com Electronic Resource http://images.contentreserve.com/ImageType-100/2858-1/{A12240B5-CAB1-40C5-88F7-34EC1DB5370C}Img100.jpg ISBN:  9781491937044 (electronic bk.) 1491937041 (electronic bk.) (paperback) (paperback) 9781491937099 1491937092 Description:  1 online resource : illustrations Edition:  Second edition. Requests:  0 Summary:  For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can batch-process data without having to create a full-fledged application, making it easy to experiment with new datasets. Updated with use cases and programming examples, this second edition is the ideal learning tool for new and experienced users alike. You'll find comprehensive coverage on key features such as the Pig Latin scripting language and the Grunt shell. When 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 typesWrite Pig Latin scripts to sort, group, join, project, and filter your dataUse Grunt to work with the Hadoop Distributed File System (HDFS)Build complex data processing pipelines with Pig's macros and modularity featuresEmbed Pig Latin in Python for iterative processing and other advanced tasksUse Pig with Apache Tez to build high-performance batch and interactive data processing applicationsCreate your own load and store functions to handle data formats and storage mechanisms.   Copy/Holding information No Item Information

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