Apache Pig Tutorial
Apache Pig Introduction
Apache Pig Environment
Pig Latin
Load & Store Operators
Diagnostic Operators
Grouping & Joining
Combining & Splitting
Filtering
Sorting
Pig Latin Built-In Functions
Other Modes Of Execution
Apache Pig Useful Resources
Selected Reading
Apache Pig Introduction
Apache Pig Environment
Pig Latin
Load & Store Operators
Diagnostic Operators
- Apache Pig - Illustrate Operator
- Apache Pig - Explain Operator
- Apache Pig - Describe Operator
- Apache Pig - Diagnostic Operator
Grouping & Joining
- Apache Pig - Cross Operator
- Apache Pig - Join Operator
- Apache Pig - Cogroup Operator
- Apache Pig - Group Operator
Combining & Splitting
Filtering
Sorting
Pig Latin Built-In Functions
- Apache Pig - Math Functions
- Apache Pig - date-time Functions
- Apache Pig - String Functions
- Apache Pig - Bag & Tuple Functions
- Load & Store Functions
- Apache Pig - Eval Functions
Other Modes Of Execution
Apache Pig Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Apache Pig - Home
Apache Pig Tutorial
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 Pig.
Audience
This tutorial is meant for all those professionals working on Hadoop who would pke to perform MapReduce operations without having to type complex codes in Java.
Prerequisites
To make the most of this tutorial, you should have a good understanding of the basics of Hadoop and HDFS commands. It will certainly help if you are good at SQL.
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