Meet the Committer: 3 Minutes on Apache Pig with Alan Gates

We’re continuing our series of quick interviews with Apache Hadoop project committers at Hortonworks.

This week Alan Gates, Hortonworks Co-Founder and Apache Pig Committer, discusses using Apache Pig for efficiently managing MapReduce workloads. Pig is ideal for transforming data in Hadoop: joining it, grouping it, sorting it and filtering it.

Alan explains how Pig takes scripts written in a language called Pig Latin and translates those into MapReduce jobs.

Listen to Alan describe the future of Pig in Hadoop 2.0. Work going on in the open community, focused in the Apache Tez project, will make Pig faster and more efficient while not requiring Pig users to change their Pig Latin scripts or their UDFs.

This is the latest in our series of quick interviews with Apache Hadoop project committers at Hortonworks.

Learn more about Pig here or at the Apache Pig project site.

Categorized by :
Data Analyst & Scientist Developer Hortonworks People Pig

Leave a Reply

Your email address will not be published. Required fields are marked *

If you have specific technical questions, please post them in the Forums

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.
Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Contact Us
Hortonworks provides enterprise-grade support, services and training. Discuss how to leverage Hadoop in your business with our sales team.

Thank you for subscribing!