Big Analog Data is “big data” for engineers and scientists. It’s characterized by the traditional big data Vs—volume, variety, velocity, and value—plus a new V, visibility. The Vs describe the data needs of globally dispersed enterprises that must access data in multiple locations, perform analytics, and visualize results. Big Analog Data is distinguished from other big data in three ways: it’s natural, fast, and really big. Data is measured from analog phenomenon (for example, light, motion, and magnetism) that is digitized at rates as fast as tens of gigahertz, and at much wider bit widths than other big data. Information is constantly being generated from both nature and machines.