As I’ve mentioned in prior blogs, the biggest use cases we see in Hadoop these days come from the risk and compliance functions of large banks. Initially, many banks and other financial services institutions (FSIs) adopted Hadoop out of sheer necessity despite its early immaturity on the governance front. With primary analytic use cases such as Know Your Customer, eCommunications Surveillance, and Anti-Money Laundering, FSIs need analytic solutions that can run at massive scale—the Hadoop sweet spot.