At the StampedeCon 2013 Big Data conference in St. Louis, Ryan Brush, Distinguished Engineer with Cerner Corporation, discussed Thinking in MapReduce - StampedeCon 2013. MapReduce reflects the essence of scalable processing: split a big problem into lots of parts, process them in parallel, and then merge the results. Yet this model is at odds with how we’ve thought about computing for most of history, where we center our applications on longlived stores of mutable data and incrementally apply change. This difference means a new mindset is needed to best leverage Hadoop and its ecosystem. This talk lays out the basics of MapReduce, designing logic and data models to make the best use of the Hadoop platform. It also goes through a number of design patterns and how Cerner is applying them to health care.