This document discusses analytics on Hadoop. It provides an overview of Hadoop, including its origins from Google's papers on MapReduce and how it provides scalable storage and distributed processing. The key benefits of Hadoop are that it can handle large, growing amounts of structured and unstructured data in a cost effective manner. Examples are given of how a retailer could use Hadoop to analyze web logs and customer data to gain insights like customer locations and behaviors.