Apache Pig 0.14.0

A Java platform for analyzing large data sets using its own custom built query language, ideal for usage on distributed computing clusters and cloud infrastructures
Apache Pig has spawned from the Apache Hadoop project and is one of its modules that where in charge of providing a way to analyze the data it processed and stored.

Pig uses a custom query language called "Pig Latin" which is incredibly easy to learn and supports both relational and functional styles.

This means you can use it as a classic SQL language benefiting from data joins and filters, or you can use its MapReduce features, the data mappers and reducers.

By default Apache Pig was meant to be used inside Hadoop installations, but newer versions allow it to run separately via a separate JVM.

last updated on:
November 20th, 2014, 14:16 GMT
license type:

Apache License

developed by:
Apache Software Foundation
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
C: \ Development Tools
Apache Pig
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What's New in version 0.13.0
  • Pluggable execution engines (to allow pig run on non-mapreduce engines in future)
  • Auto-local mode (to jobs with small input data size to run in-process)
  • Fetch optimization (to improve interactiveness of grunt)
  • Fixed counters for local-mode
read full changelog

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