This document provides an introduction to web intelligence and big data. It discusses the Turing test, Moore's Law and Kryder's Law to outline how computing power and data storage have grown exponentially. It then defines what constitutes big data today based on the scale of data from websites like Facebook, Twitter, Google and corporations. Finally, it discusses how companies have used parallel programming and the MapReduce paradigm rather than traditional databases and data warehousing to analyze massive amounts of data and develop predictive intelligence.