BUSI 2400 Study Guide - Final Guide: The Negotiation, Speed Bump, Nutraceutical

• School: Carleton University
• Department: Business
• Course: BUSI 2400
• Professor: Al Pilcher

Document Summary

All can represented, with varying degrees of accuracy, in digital form. When data is nicely structured, as in a database, we have a predictable row by column format. But data can be unstructured as well, without any format. Big data: is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Analysis, capture, data curation, search, sharing, storage, transfer, visualization, and info privacy. Volume: the sheer amount of big data is almost unfathomable. Variety: the sources of big data are broad and growing every day. Velocity: the speed with which it is generated, and this be consumed, phenomenal. Viability: the inherent ability of the data to provide the info we seek. Data exhaust: much produced data is ignored and represents untapped opportunities. Big data is almost free if you consider the volume. Big data can tell you that but not why. Big data provides correlation with no guarantee of causation.