Abstract
Big Data Analytics is a topic fraught with both positive and negative potential. Big Data is defined not just by the amount of information involved but also its variety and complexity, as well as the speed with which it must be analyzed or delivered. The amount of data being produced is already incredibly great, and current developments suggest that this rate will only increase in the near future. Improved service should result as companies better understand their customers, but it is also possible that this data will create privacy problems. Thus, Big Data is important not only to students who hope to gain employment using these techniques and those who plan to use it for legitimate research, but also for everyone who will be living and working in the 21st Century.
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References
1.
Lev-Ram
M.
, What's the Next Big Thing in Big Data? Bigger Data , Forbes , pp 233 –238 , 2014 .
2.Big Data: The Next Frontier for Innovation, Competition, and Productivity . Retrieved June 2, 2013 from http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
3.
Marr
B.
, The Awesome Ways Big Data Is Used Today To Change Our World . Retrieved June 3, 2014, from https://www.linkedin.com/today/post/article/20131113065157-64875646-the-awesome-ways-big-data-is-used-today
4.
Tucker
P.
, The Naked Future: What Happens in a World That Anticipates Your Every Move? Current (Penguin) Publishing , New York , 2014 .
5.
Weinberger
D.
, Too Big to Know: Rethinking Knowledge Now That the Facts Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room Basic Books , New York , p. 7 , 2012 ).
6.
Gualtieri
M.
, Is 750 MB Big Data? Retrieved June 4, 2014 , from http://blogs.forrester.com/mike_gualtieri/12-12-05-is_750mb_big_data
7.
Perry
M. J.
, Chart of the Day: The Falling Price of Memory . Retrieved June 9, 2014 , http://www.aei-ideas.org/2013/04/chart-of-the-day-the-falling-price-of-memory/
8.
Eaton
C.
Deutsch
T.
Deroos
D.
Lapis
G.
, and
Zikopoulos
P.
, Understanding Big Data , McGraw-Hill , New York , p. 5 , 2012 .
9.John Wanamaker on advertising . Retrieved June 6, 2014 , from http://message.snopes.com/showthread.php?t=46568
10.
Ellenberg
J.
, What's Even Creepier Than Target Guessing That You're Pregnant? Retrieved June 9, 2014 , from http://www.slate.com/blogs/how_not_to_be_wrong/2014/06/09/big_data_what_s_even_creepier_than_target_guessing_that_you_re_pregnant.html
11.What is BigQuery? Retrieved June 9, 2014 , from https://developers.google.com/bigquery/what-is-bigquery
12.
Helft
M.
, Google Uses Searches to Track Flu's Spread . Retrieved June 9, 2014 , from http://www.nytimes.com/2008/11/12/technology/internet/12flu.html?_r=0
13.
Olenski
S.
, Influencer Marketing Tools That Will Power Your Content in the Future . Retrieved June 9, 2014 , from http://marketingland.com/influencer-marketing-tools-will-power-content-2014-86014
14.Gartner Says Big Data Creates Big Jobs: 4.4 Million IT Jobs Globally to Support Big Data By 2015 . Retrieved June 2, 2014 , from http://www.gartner.com/newsroom/id/2207915
15.
16.
Barnes
R.
, Big Data Issues? Try Coping with the Large Hadron Collider . Retrieved June 12, 2014 , from http://www.marketingmagazine.co.uk/article/1185012/big-data-issues-try-coping-large-hadron-collider
17.
King
G.
, Ensuring the Data-Rich Future of the Social Sciences , Science , 331 , 719 –772 , 2011 .
18.
Anderson
J.
and
Raine
L.
, The Internet of Things Will Thrive by 2025 . Retrieved June 14, 2014 , from http://www.pewinternet.org/2014/05/14/internet-of-things/
19.
Rivera
J.
and
van der Meulen
R.
, Gartner Says the Internet of Things Installed Base Will Grow to 26 Billion Units By 2020 . Retrieved June 11, 2014 , from http://www.gartner.com/newsroom/id/2636073
20.
Walker
M.
, The Internet of Things, Data Science and Big Data . Retrieved June4, 2014 , from http://www.datasciencecentral.com/profiles/blogs/the-internet-of-things-data-science-and-big-data
21.
Ackerman
S.
, Welcome to the Age of Big Drone Data . Retrieved June 6, 2014 , from http://www.wired.com/2013/04/drone-sensors-big-data/
22.
Thompson
M.
, The Navy's Amazing Ocean-Powered Underwater Drone . Retrieved June 6, 2014 , from http://swampland.time.com/2013/12/22/navy-underwater-drone/
23.
Mikell
M.
, Drones: Big Data App in the Making? Retrieved June 6, 2014 , from http://en.community.dell.com/dell-blogs/dellsolves/b/weblog/archive/2014/03/17/drones-big-data-app-in-the-making.aspx
24.
Starren
J.
Williams
M. S.
, and
Bottinger
E. P.
, Crossing the Omic Chasm: A Time for Omic Ancillary Systems , The Journal of the American Medical Association , 309 (12 ), 1237 –1238 , 2013 .
25.
Schumpeter
J.
, Digital Disruption on the Farm , The Economist , p. 64 , May 24, 2014 .
26.Global Surveillance Disclosures (2013-present). Retrieved June 7, 2014 , from http://en.wikipedia.org/wiki/Global_surveillance_disclosures_(2013%E2%80%93present)
27.
Sullivan
M.
, Data Snatchers! The Booming Market for Your Online Identity, 2012 . Retrieved June 26, 2012 , from http://www.pcworld.com/article/258034/data_snatchers_the_booming_market_for_your_online_identity.html
28.
Zimmer
M.
, More on the “Anonymity” of the Facebook Dataset—It's Harvard College (Updated) . Retrieved June 4, 2014 , from http://www.michaelzimmer.org/2008/10/03/more-on-the-anonymity-of-the-facebook-dataset-its-harvard-colleg/
29.
Gymrek
M.
McGuire
A. L.
Golan
D.
Halperin
E.
, and
Erlich
Yaniv Y.
, Identifying Personal Genomes by Surname Inference . Science , 339 , 321 –324 , 2013 .
30.Event Summary: The Social, Cultural, & Ethical Dimensions of “Big Data . Retrieved June 8, 2014 , from http://www.datasociety.net/pubs/2014-0317/BigDataConferenceSummary.pdf
31.
Van Buskirk
E.
, Report: Facebook CEO Mark Zuckerberg Doesn't Believe In Privacy . Retrieved June 8, 2014 , from http://www.wired.com/2010/04/report-facebook-ceo-mark-zuckerberg-doesnt-believe-in-privacy/
32.
Rosen
J.
, The Right to Be Forgotten . Retrieved June 14, 2014 , from http://www.stanfordlawreview.org/online/privacy-paradox/right-to-be-forgotten?em_x=22
33.
Boyd
D.
and
Crawford
K.
, Six Provocations for Big Data . Retrieved June 14, 2014 , from http://softwarestudies.com/cultural_analytics/Six_Provocations_for_Big_Data.pdf