Date: Fri, 10 Jul 2015 05:17:46 +0000
<p><span style="color: #224422; font-family: sans-serif; font-size: 14px; line-height: 24px;"> This mini-episode is a high level explanation of the basic idea behind MapReduce, which is a fundamental concept in big data. The origin of the idea comes from a Google paper titled </span><a href="http://research.google.com/archive/mapreduce.html" style="color: #337ab7; text-decoration: none; font-family: sans-serif; font-size: 14px; line-height: 24px;">MapReduce: Simplified Data Processing on Large Clusters</a><span style="color: #224422; font-family: sans-serif; font-size: 14px; line-height: 24px;">. This episode makes an analogy to tabulating paper voting ballets as a means of helping to explain how and why MapReduce is an important concept.</span></p>
