Big Data: Concept, Trends and Security Issues’ Relevances

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...

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Bibliographic Details
Main Authors: Valeriy Nikolayevskyy, Viktoriia Omelchenko
Format: Article
Language:English
Published: V. N. Karazin Kharkiv National University 2018-11-01
Series:Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Соціологічні дослідження сучасного суспільства: методологія, теорія, методи
Online Access:https://periodicals.karazin.ua/ssms/article/view/11587/11925
Description
Summary: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.
ISSN:2227-6521