Big Data: Concept, Trends and Security Issues’ Relevances
Abstract
Authors of the article focus on some theoretical and practical issues of Big Data. They present a brief overview of theoretical approaches in studying of Big Data concept in up-to-date English literature in Social sciences and Humanities, as well as computer and information studies; and give various definitions of this concept. The authors note the interest to this concept in Ukrainian sociology discourse and mark a certain mythologization of the reasons that caused that interest. The article illustrates the practice of business usage of Big Data in Ukraine. 2017-2018 top Big Data trends which were highlighted by experts of Dataversity, the Economist, Gartner, Tableau are presented in the article also. The authors point out in the article the following trends: Big Data becomes fast and approachable, Big Data grows up; the use of business intelligence, based on Big Data, becomes more important to small and medium-sized businesses, and even start-ups; variety, not volume or velocity, drives Big Data investments; the convergence of Internet of Things, cloud and Big Data creates new opportunities for self-service analytics; changing security challenges are among them. Authors focus on some research perspectives, and security issues, in the context of the analysis of Big Data for Social Sciences and Humanities.
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References
Foote K.D. Big Data Trends for 2018. (November 28, 2017) / Dataversity. URL: http://www.dataversity.net/big-data-trends-2018/ (accessed – 15.01.2018).
Kulesh S. Vodafone Ukraine zapuskayet proekt Big Data Lab, v ramkakh kotoroho otkroyet massiv svoikh realnykh dannykh IT-razrabotchikam. ITCua. URL: https://itc.ua/news/vodafone-ukraina-zapuskaet-proekt-big-data-lab-v-ramkah-kotorogo-otkroet-massiv-svoih-realnyih-dannyih-it-razrabotchikam/ (accessed – 7.11.2017) (in Russian).
«UZ» nachinayet prodazh kvytkiv z vykorystannyam Big Data. «Slovo i dilo». URL: http://www.slovoidilo.ua/2016/12/16/novyna/ekonomika/ukrzaliznycya-zapuskaye-prohramu-prodazhiv-kvytkiv-z-vykorystannyam-big-data (accessed – 16.12.2016) (in Ukrainian)/
UZ prisoedinyaetsya k portalu E-data i nachnet publikovat tam dannye o dvizhenii svoikh deneh. CFTS. URL: http://cfts.org.ua/news/2017/12/20/uz_prisoedinyaetsya_k_portalu_e_data_i_nachnet_publikovat_tam_dannye_o_dvizhenii_svoikh_deneg_44635 (accessed – 20.12.2017) (in Russian).
Metodologiya i metody sotsiologichnykh doslidzhen’ v Ukaini: istoriya ta suchasni problemy. Do 70-richchya Volodymyra Paniotto: zbirnyk statej za materialamy konferentsii, 22 sichnya, m. Kyiv / za nauk.red. V. S. Bakirova ta Ye. I. Holovakhy. Kyiv: Instytut sotsiologii NAN Ukrainy, V. N. Karazin KhNU. 2017. 208 p.
New Inequalities – New Conflicts: Ways to Onvercome. Abstracts of the III Congress of Sociological Association of Ukraine, Kharkiv, 12-13 October 2017. –Kharkiv, 2017. – 516 P.
Davis J. Psycho-demographics: Drilling Down on Trump's Campaign Analytics. (13.04.2017). All Analytics. URL: https://www.allanalytics.com/author.asp?elq_mid=77960&elq_cid=23083305§ion_id=3858&doc_id=282448&_mc=NL_NJ_EDT__20170419&cid=NL_NJ_EDT__20170419&elqTrackId=c6fa7b08a34042d59c3bf67c02339334&elq=fce4fd9098b54640ac673f3a1cae6bbb&elqaid=77960&elqat=1&elqCampaignId=26307 (accessed – 12.02.2018).
Urbano J., Pedro Nogueira, Ana Paula Rocha, and Henrique L. Cardoso. Analysis of Data Science Tools for Sensor-Based Assessment of Quality of Life in Health Care. Recent Advances in Information Systems and Technologies: Vol.I-II. / Alvaro Rocha, Ana Maria Correia, Hojjat Adeli, Luis Paulo Reis, Sandra Costanzo (Editors). Vol. I. Springer, 2017. P. 446-455.
Kakutani M. Watched by the Web: Surveillance Is Reborn. ‘Big Data,’ by Viktor Mayer-Schönberger and Kenneth Cukier. The New York Times. URL: http://www.nytimes.com/2013/06/11/books/big-data-by-viktor-mayer-schonberger-and-kenneth-cukier.html (accessed – 10.06.2013).
Apers P. Data Overload: What Can We Do? Database Systems for Advanced Applications. 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part I. / Weiyi Meng Ling Feng, Stephane Bressan WernerWiniwarter, Wei Song (Eds.). Springer, 2013. P. 1-2.
Borgman C. Big Data, Little Data, No Data: Scholarship in a Networked World. Cambridge, MA: MIT Press, 2015.
Oliphant T. A Case for Critical Data Studies in Library and Information Studies. Journal of Critical Library and Information Studies. No. 1. 2017. URL: http://libraryjuicepress.com/journals/index.php/jclis/article/view/22/13
Ekbia H. et al. Big Data, Bigger Dilemmas: A Critical Review. Journal of the Association for Information Science and Technology. 2015. Vol. 66. No. 8. P. 1523-1545.
Sherman C. What’s the Big Deal About Big Data? Online Searcher. 2014. Vol. 38. No. 2. P. 10–16.
Mayer-Schonberger V., Cukier K. Big data: A Revolution That Will Transform How We Live, Work, and Think. New York: Houghton Mifflin, 2013. 242 P.
Definitions of Big Data. Opentracker. Event tracking and analytics (updated: April 26, 2013). URL: http://www.opentracker.net/article/definitions-big-data (accessed – 23.03.2017).
Elliott T. What is Big Data? / Business Analytics & Digital Business. URL: http://timoelliott.com/blog/2012/12/what-is-big-data.html (accessed – 12.02.2017).
Top ten Big Data trends for 2017. Tableau. URL: https://www.tableau.com/sites/default/files/media/Whitepapers/whitepaper_top_10_big_data_trends_2017.pdf?ref=lp&signin=095b34d5b95542a260f40aa8c02d4d0c (accessed – 25.03.2017).
The World in 2018 / The Economist (UK). The Economist Newspaper Ltd., 2017. – 154 P.
Sicular S. Gartner's Big Data Definition Consists of Three Parts, Not to Be Confused with Three «V»s / Forbes.com. URL: https://www.forbes.com/sites/gartnergroup/2013/03/27/gartners-big-data-definition-consists-of-three-parts-not-to-be-confused-with-three-vs/#1a8332c342f6 (accessed – 27.03.2013).
Maślankowski J. Towards De-duplication Framework in Big Data Analysis. A Case Study. Information Systems: Development, Research, Applications, Education: 9th SIGSAND/PLAIS EuroSymposium 2016 Gdansk, Poland, September 29, 2016 Proceedings / Stanislaw Wrycza (Ed.) : Springer, 2016. P. 104-113.
Moreno J., Manuel A. Serrano and Eduardo Fernández-Medina. Main Issues in Big Data Security. Future Internet 2016, 8(3). URL: http://www.mdpi.com/1999-5903/8/3.
Cadwalladr C., Graham-Harrison E. Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. The Guardian. URL: https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election (17.03.2018).
The myth of cyber-security. The Economist (UK). 2017. Vol.423. No. 9035. April 8th. P. 7.
