MapReduce is a programming paradigm that uses multiple machines to process large data sets. Apache Hadoop is the most popular MapReduce framework and this series takes you from zero MapReduce knowledge all the way to writing and running Hadoop programs.
In these screencasts, Jesse teaches MapReduce with his own novel method that makes it easy to understand. After you learn the basics, Jesse teaches you Hadoop using Java, Ruby, Python, and Perl code. No matter which technology stack you choose, you’ll have the understanding and tools you need to use to use Hadoop on your next project.
Together we’ll write code in Java, Ruby, Python and Perl.
Source code for the first and third episodes is available at github.com
Source code for the second episode is available at github.com
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