Programming Pig: Dataflow Scripting with Hadoop

Thisguide is an ideal learning tool and reference for Apache Pig, the open sourceengine for executing parallel data flows on Hadoop. With Pig, you canbatch-process data without having to create a full-fledged application—makingit easy for you to experiment with new datasets.

ProgrammingPig introduces new users to Pig, and provides experiencedusers with comprehensive coverage on key features such as the Pig Latinscripting language, the Grunt shell, and User Defined Functions (UDFs) forextending Pig. If you need to analyze terabytes of data, this book shows youhow 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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