Too often in the hype and excitement around Big Data, the conversation gets complicated very quickly. Data scientists and technical experts bandy around terms like Hadoop, Pig, Mahout, and Sqoop, making us wonder if we’re talking about information architecture or a Dr. Seuss book. Business executives who want to leverage the value of Big Data analytics in their organisation can get lost amidst this highly-technical and rapidly-emerging ecosystem. In an effort to simplify Big Data, many experts have referenced the “3 V’s”: Volume, Velocity, and Variety. In other words, is information being generated at a high volume (e.g. terabytes per day), with a rapid rate of change, encompassing a broad range of sources including both structured and unstructured data?