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Feb 22, 2021 · Apache Pig is a high-level language and infrastructure for parallel data analysis, based on Map-Reduce. Learn how to use Pig, get involved in the project, and see the latest news and releases.
- Release Page
4 July, 2014: release 0.13.0 available . This release...
- Read The Documentation
The Pig Documentation provides the information you need to...
- Pig Training
Pig Training. This document lists sites and vendors that...
- About
What is Apache Pig? Apache Pig is a platform for analyzing...
- Who We Are
Committers and PMC members who are no longer active on Pig...
- Version Control
The Apache Pig source code resides in the Apache Subversion...
- Overview
The Pig Documentation provides the information you need to...
- Getting Started
To get a Pig distribution, do the following: Download a...
- Release Page
Apache Pig is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark.
May 14, 2023 · Learn what Apache Pig is, how it works, and why it is useful for processing big data. Compare Pig with MapReduce, and explore its features, evolution, and applications.
Jan 21, 2024 · Learn what Apache Pig is, how it works, and why it is useful for data analysis. Compare Pig with MapReduce, SQL, Hive and other Hadoop components.
Aug 8, 2021 · Learn what Apache Pig is, how it works, and its features and advantages over MapReduce. This article covers Pig architecture, execution options, commands, data types, operators, and a script example.
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