MODULE 2 CASE ***LESS THAN 7% TURNITIN SCORE***

Mehrotra, P., Pryor, L., Bailey, F. and Cotnoir, M. (2014). Supporting “Big Data”

Analysis and Analytiics at the NSAS Supercomputing Facility. NAS Technical

Report: NAS-2014-02.

Kaisler, S., Armour, F., Espinosa, J.A., and Money, W. (2013). Big data: Issues and

challenge moving forward. 46th Hawaii International Conference on Systems

Sciences, 1-10.

The trick to coping with "big data" is, of course, better data analytics -- that is, that

set of statistical mining, and related analytical tools that can be used to identify

patterns in the data, assess a variety of associations, and generally illuminate the

knowledge that might otherwise be buried in the mounds of numbers. Today,

analytics is a rapidly expanding field.

Raghupathi, W. and Raghupathi, V. (2014). Big data analytics in healthcare: Promise

and potential. Health and Information Science and Systems, 2(3), 1-10.

ISO/IEC JTC 1 Information Technology Big Data, Preliminary Report, 1-36.

Fujitsu (2015). The White Book of Big Data: The definitive guide to the revolution in

business analytics.

When you've had a chance to read these articles, anything from the Background that

is helpful to you, or anything else you may have come across, please write a 3- to 5-

page paper discussing the question:  

***Problems and Opportunities created by having too much data, and what to do

about them**

Take a definite stand on the issues, and develop your supporting argument carefully. Using material from the background information and any other sources you can find to support specific points in your argument is highly recommended; avoid making assertions for which you can find no support other than your own opinion.

Your paper is to be structured as a point/counterpoint argument, in the following

Manner:

·         Begin this paper by stating your position on this question clearly and concisely

Citing appropriate sources, present the reasons why you take this position. Be

sure to make the most effective case you can.

·         Then present the best evidence you can, again cite appropriate sources, against

your position -- that is, establish what counterarguments can be made to your

original position.

·         Finally, review your original position in light of the counterarguments, showing

how they are inadequate to rebut your original statement.

·         By the end of your paper, you should be able to unequivocally re-affirm your original

position. MUST HAVE IN TEXT CITATIONS THAT MATCH REFERENCES!!