Hadoop has been a phenomenon, both as a framework for big data workloads and its operational capabilities. Major initiatives brought Hadoop from its batch-oriented roots to the interactive capabilities that are delivering improved performance in SQL engines and with distributed in-memory engines. Operational analytics are leading the way as “one of the first” steps towards operationalizing Hadoop as a platform. There are core data management principles that will guide Hadoop adoption, however there is also a change in mindset needed to rethink the