The following is a guest post from Jeremy Karn. This article is excerpted from ‘MongoDB + Hadoop: A Step-by-Step Tutorial’. Jeremy is a cofounder at Mortar Data, a Hadoop-as-a-service provider, and creator of mortar, an open source framework for data processing.
People who are worried about scalability often find themselves looking at two tools: MongoDB for storing large amounts of data easily and Hadoop for processing that data. But a common question is: “How do I combine these two to really get the most out of my data?”