Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture , curate, manage, and process data within a tolerable elapsed time. The term has been in use since the 1990s, with some giving credit to John Mashey for coining or at least making it popular. CHARACTERSTICS: Volume: big data doesn't sample; it just observes and tracks what happens Velocity: big data is often available in real-time Variety: big data draws from text, images, audio, video; plus it completes missing pieces through data fusion Machine Learning: big data often doesn't ask why and simply detects patterns Digital Footprint: big data is often a cost-free byproduct of digital interaction BIG DATA Vs. BUSINESS INTELLIGENCE: Business Intelligence uses descriptive statistics with data with high information density to measure things, detect trends, etc.. Big data uses inductive stats. and concepts from non-linear system identification to inf...
Student Chapter of CSI, Lakshmangarh