Description
For beginning and intermediate users, this guide to Apache Pig provides information and reference material on the use of this powerful dataflow scripting language for the Hadoop large scale database framework. Beginning with an overview of Pig and its installation and operation, the volume covers the Grunt user interface, Pig Latin syntax, developing and testing Pig scripts, evaluation and filter functions, load and store functions, and Python embedding. Chapters include numerous code examples and access to additional online resources is provided. Gates is one of the original developers of Pig. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)
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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.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 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 tasksCreate your own load and store functions to handle data formats and storage mechanismsGet performance tips for running scripts on Hadoop clusters in less time
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