Analytical Review of Interest for Big Data

  • L. E. GORLEVSKAYA Moscow Polytechnic University, Moscow, Russian Federation
  • V. D. SEKERIN Moscow Polytechnic University, Moscow, Russian Federation
  • A. Z. GUSOV Peoples Friendship University of Russia (RUDN University), Moscow, Russian Federation
  • A. E. GOROKHOVA Moscow Polytechnic University, Moscow, Russian Federation

Abstract

High importance and great power of Big Data in connection with the lack of common understanding of the term has led to multiple challenges in the field. In order to overcome some of the challenges this study appeals to the Big Data term and presents an overview of approaches to Big Data. Authors argue that volume is the key characteristic of Big Data and suggest making the definition which is clear to a wide audience. This paper determines modern trends of interest for Big Data from different economy participants. It shows that the Big Data term has become mature. The paper proves high steady interest to the topic in science, business, society, government. General research of Big Data passed to research of different Big Data segments by key issues, technologies or applied industries.

References

[1] Ahlfeld, M., Barleben, T., Cellarius, M., Duisberg, A., Ensthaler, J., Fischer, B., Hilbert, F, Kriesel, T., Schauf, T., Schweinoch, M., van Geerenstein, D., and Zeiler, W. 2016. In the spotlight: Industrie 4.0 – Issues surrounding data WORKING PAPER. Berlin, Germany:Federal Ministry for Economic Affairs and Energy (BMWi), pp. 6,
[2] Barnes, T.J. 2014. Big Data, social physics, and spatial analysis: The early years. Big Data & Society, 1(1): 1–14,
[3] Behari, S., Cater-Steel, A., and Soar, J. 2016. Data Science and Big Data Analytics in Financial Services: A Case Study. Handbook of Research on Driving Competitive Advantage through Sustainable, Lean, and Disruptive Innovation. Advances in Business Strategy. Business Science Reference (IGI Global). Hershey, PA, United States, pp. 396-423,
[4] Bertoni, S. 2016. Exclusive Interview: How Jared Kushner Won Trump The White House. http://www.forbes.com/sites/stevenbertoni/2016/11/22/exclusive-interview-how-jared-kushner-won-trump-the-white-house/#7715e69a2f50 (accessed August 2017),
[5] Brobst, S. 2013. In three years, the term ‘big data’ will disappear: Teradata CTO http://www.themalaymailonline.com/tech-gadgets/article/in-three-years-the-term-big-data-will-disappear-teradata-cto (accessed July 2017),
[6] Chen, M., Mao, S., and Liu, Y. 2014. Big Data: A Survey. Mobile Networks and Applications, 19(2):171-209,
[7] Cox, M., and Ellsworth, D. 1997. Application-controlled demand paging for out-of-core visualization IEEE 8th conference on Visualization, Arizona, USA, pp. 235-244,
[8] Ebay. (n.d.) http://search.half.ebay.com/BigData_W0QQ_trksidZp2682QQsoZ2QQqueryZQ22Big Q20DataQ22QQmZbooksQQpgZ50QQsortZ30376 (accessed August 2017),
[9] European Parliament. 2015. http://www.europarl.europa.eu/oeil/popups/ficheprocedure.do?reference=2015/2103%28INL%29&l=en (accessed August 2017),
[10] Google trends. (n.d.). https://trends.google.com/trends (accessed August 2017),
[11] Gartner. 2017. Hype Cycle for Emerging Technologies http://www.gartner.com/smarterwithgartner (accessed July 2017),
[12] Goes, J. 2013. ‘Big data’ is dead. What’s next? https://venturebeat.com/2013/02/22/big-data-is-dead-whats-next/ (accessed July 2017),
[13] Kitchin, R. 2014.The Data revolution: Big Data, Open Data, Data Infrastructures and Their Consequences, Londres, Sage, pp. 240,
[14] Laney, D. 2001. 3D Data Management: Controlling Data Volume, Velocity, and Variety. Meta Group (Gartner),
[15] Li, S., Dragicevic, S., Castro, F.A., Sester, M., Winter, S., Coltekin, A., and Pettit, C. 2016. Geospatial big data handling theory and methods: A review and research challenges. ISPRS Journal of Photogrammetry and Remote Sensing, 115: 119-133,
[16] Lee, J., AnKao H., and Yang, S. 2014. Service Innovation and Smart Analytics for Industry 4.0 and Big Data EnvironmentProcedia CIRP, 16: 3-8,
[17] Lohr, S. 2012. The age of big data. http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html (accessed July 2017),
[18] Moniruzzaman, A.B.M., and Hossain, S.A. 2013. NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison International Journal of Database Theory and Application, 6 (4): 1-14,
[19] Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., and Byers, A.H. 2011. Big Data: The Next Frontier for Innovation, Competition, and Productivity. San Francisco, CA: McKinsey Global Institute,
[20] Manyika, J, Lund, S, Bughin, J, Woetzel, J, Stamenov, K., and Dhingra, D. 2016. Digital globalization: The new era of global flows. San Francisco, CA: McKinsey Global Institute,
[21] Mashey, J. 1998. Big Data and the Next Wave of Infrastress. Paper presented at SGI, New York, USA,
[22] Gartner IT Glossary. (n.d.). https://research.gartner.com/definition-whatis-big-data?resId=3002918&srcId=1-8163325102 (accessed July 2017),
[23] National Institute of Standards and Technology. (n.d.). https://bigdatawg.nist.gov (accessed July 2017),
[24] The Oxford English Dictionary. (n.d.). https://en.oxforddictionaries.com/definition (accessed July 2017),
[25] ISO/IEC CD 20546 (n.d.). https://www.iso.org/standard/68305.html (accessed August 2017),
[26] IBM Analytics (n.d.). https://www.ibm.com/analytics/us/en/big-data/ (accessed July 2017),
[27] Khan, M.A., Uddin, M.F., and Gupta, N. 2014. Seven V’s of Big Data, Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education, Bridgeport, Connecticut, USA, pp 3-5,
[28] Gorodov, E., and Gubarev, V. 2013. Analytical Review of Data Visualization Methods in Application to Big Data. Journal of Electrical and Computer Engineering, 22: 1–7,
[29] Suthaharan, S. 2014. Big data classification: Problems and challenges in network intrusion prediction with machine learning. Performance Evaluation Review, 41(4): 70-73,
[30] Kitchin, R., and McArdle, G. 2016. What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society, 3: 1–10,
[31] Schroeck, M., Shockley, R., Smart, J., Romero-Morales, D., and Tufano, P. 2012. Analytics: The real-world use of big data. How innovative enterprises extract value from uncertain data, IBM Institute for Business Value, New York, USA, pp. 20,
[32] IDC's Worldwide Big Data and Analytics Software Taxonomy 2017 (IDC, #US42353216, March 2017),
[33] Reber, P. 2010. What Is the Memory Capacity of the Human Brain? https://www.scientificamerican.com/article/what-is-the-memory-capacity/ (accessed July 2017),
[34] Microsoft Access Limitations (n.d.). https://support.microsoft.com/be-by/help/965659/microsoft-access-limitations (accessed August 2017),
[35] Tilly, C. 1980. The Old New Social History and the New Old Social History Other Identifiers: CRSO Working Paper #218 -10,
[36] Mesnard, X. 2016. What happens when robots take our jobs? https://www.weforum.org/agenda/2016/01/what-happens-when-robots-take-our-jobs (accessed August 2017),
[37] Jobs, C.G., Aukers, S.M. and Gilfoil, D.M. 2015. The impact of big data on your firms marketing communications: a framework for understanding the emerging marketing analytics industry/ International Academy of Marketing Studies Journal, 19 (2): 81-92,
[38] Malthouse, E.C., and Li, H. 2017. Opportunities for and Pitfalls of Using Big Data in Advertising Research.Journal of Advertising, 46 (2): 227–235,
[39] UNECE Statistics. 2013. Classification of Types of Big Data (n.d.). https://statswiki.unece.org/display/bigdata/Classification+of+Types+of+Big+Data (accessed August 2017),
[40] Razsoft Canada Big Data classifications. (n.d.). http://razsoftcanada.com/bigdata.html (accessed August 2017),
[41] EBSCO Discovery Service. (n.d.). https://www.ebscohost.com/discovery (accessed August 2017),
[42] The Statistics Portal. 2017. https://www.statista.com/statistics/254266/global-big-data-market-forecast/ (accessed August 2017),
[43] Yandexwordstat. (n.d.). https://wordstat.yandex.ru/#!/history (accessed August 2017),
[44] The Federal Big Data Research and Development Strategic Plan, USA (n.d.). https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/NSTC/bigdatardstrategicplan-nitrd_final-051916.pdf (accessed August 2017),
[45] Senate joint resolution 34, USA. (n.d.). https://www.congress.gov/bill/115th-congress/senate-joint-resolution/34 (accessed August 2017),
[46] The TASS news agency. FRII plans to develop its own law on Big Data, RF. (n.d.). http://tass.ru/pmef-2017/articles/4308169 (accessedAugust 2017),
[47] Tilly, C. 1980. The Old New Social History and the New Old Social History Other Identifiers: CRSO Working Paper #218 -10,
[48] World Economic Forum Annual Meeting 2015-2017. (n.d.). https://www.weforum.org/events (accessed July 2017.
Published
2018-09-03
How to Cite
GORLEVSKAYA, L. E. et al. Analytical Review of Interest for Big Data. Journal of Advanced Research in Law and Economics, [S.l.], v. 8, n. 8, p. 2399-2407, sep. 2018. ISSN 2068-696X. Available at: <https://journals.aserspublishing.eu/jarle/article/view/2202>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.14505//jarle.v8.8(30).10.