Apache Pig Tutorial

• Apache Pig - Useful Resources
  The following resources contain additional information on Apache Pig. Please use them to get more in-depth knowledge on this.
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• Apache Pig - Eval Functions
  Apache Pig provides various built-in functions namely eval, load, store, math, string, bag and tuple functions.
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• Apache Pig - Filter Operator
  The FILTER operator is used to select the required tuples from a relation based on a condition.
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• Apache Pig - Reading Data
  In general, Apache Pig works on top of Hadoop. It is an analytical tool that analyzes large datasets that exist in the Hadoop File System. To analyze data using Apache Pig, we have to initially load the data into Apache Pig. This chapter explains how to load data to Apache Pig from HDFS.
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• Apache Pig - Installation
  This chapter explains the how to download, install, and set up Apache Pig in your system.
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• Apache Pig - Overview
  Apache Pig is an abstraction over MapReduce. It is a tool/platform which is used to analyze larger sets of data representing them as data flows. Pig is generally used with Hadoop; we can perform all the data manipulation operations in Hadoop using Apache Pig.
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