- 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
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
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 like 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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