- Apache Pig Tutorial
- Apache Pig - Home
- Apache Pig Introduction
- Apache Pig - Overview
- Apache Pig - Architecture
- Apache Pig Environment
- Apache Pig - Installation
- Apache Pig - Execution
- Apache Pig - Grunt Shell
- Pig Latin
- Pig Latin - Basics
- Load & Store Operators
- Apache Pig - Reading Data
- Apache Pig - Storing Data
- Diagnostic Operators
- Apache Pig - Diagnostic Operator
- Apache Pig - Describe Operator
- Apache Pig - Explain Operator
- Apache Pig - Illustrate Operator
- Grouping & Joining
- Apache Pig - Group Operator
- Apache Pig - Cogroup Operator
- Apache Pig - Join Operator
- Apache Pig - Cross Operator
- Combining & Splitting
- Apache Pig - Union Operator
- Apache Pig - Split Operator
- Pig Latin Built-In Functions
- Apache Pig - Eval Functions
- Load & Store Functions
- Apache Pig - Bag & Tuple Functions
- Apache Pig - String Functions
- Apache Pig - date-time Functions
- Apache Pig - Math Functions
- Other Modes Of Execution
- Apache Pig - User-Defined Functions
- Apache Pig - Running Scripts
- Apache Pig Useful Resources
- Apache Pig - Quick Guide
- Apache Pig - Useful Resources
- Apache Pig - Discussion
Discuss Apache Pig
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.
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