Managing and Visualizing Unstructured Big Data

Author:

Mitra Ananda1

Affiliation:

1. Wake Forest University, USA

Abstract

One of the most common terms that is used in a significant amount of popular and scholarly discussion is big data. As pointed out earlier, the term has a dubious history and different people claim ownership. What remains true of the notion of big data is that it exists. With the increasing rate at which institutions and individuals are digitizing many different kinds of information the amount of data can only go up in volume. Therefore, big data has become an object of analysis for a variety of groups, from academics to marketers, all of whom are interested in understanding how big data could provide highly granular information about people.

Publisher

IGI Global

Reference28 articles.

1. Daly, J. (2013). Quartz: “Big Data” Is the Most Overused Term of 2013. FedTech. Available at: http://www.fedtechmagazine.com/article/2013/12/quartz-big-data-most-overused-term-2013

2. Dalziel, S. (January 14, 2011). IBM computer beats human Jeopardy champs. The Inquirer. Retrieved on June 3, 2013 from: http://www.theinquirer.net/inquirer/news/1937273/ibm-beats-human-jeopardy-champs

3. Diebold, F. X. (2003), Big Data Dynamic Factor Models for Macroeconomic Measurement and Forecasting: A Discussion of the Papers by Reichlin and Watson. In M. Dewatripont, L.P. Hansen and S. Turnovsky (Eds.), Advances in Economics and Econometrics: Theory and Applications, Eighth World Congress of the Econometric Society. Cambridge, UK: Cambridge University Press.

4. Facebook users worldwide 2016 | Statista. (n.d.). Retrieved May 16, 2013, from http://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/

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