This document discusses approaches to implementing Hadoop, NoSQL, and analytical databases. It describes: 1) The current landscape of big data databases including Hadoop, NoSQL, and analytical databases that are often used together but come from different vendors with different interfaces. 2) Common uses of transactional databases, Hadoop, NoSQL databases, and analytical databases. 3) The complexity of current implementation approaches that involve multiple coding steps across various tools. 4) How Pentaho provides a unified platform and visual tools to reduce the time and effort needed for implementation by eliminating disjointed steps and enabling non-coders to develop workflows and analytics for big data.