DEVELOPMENT AND TRANSFORMATION OF BIG DATA CONCEPT
DOI:
https://doi.org/10.24025/2306-4412.1.2019.164787Keywords:
Big Data, information technologies.Abstract
The article discusses the development and transformation of Big Data concept (Big Data). This concept does not have a clear interpretation today. Theoretical research has shown that it is reasonable to consider its development in a historical context. Initially it has been considered that the data flow, bigger than 100 Gb a day, is, first of all, a criterion of reference to category Big Data. However, it has turned out that this is not enough to clearly categorize the product as Big Data. Subsequently as such a criterion qualitative signs, that is “a certain number of V”: Volume – a significant increase in the amount of data in corporate systems; Variety – a variety of formats and structures of available data; Velocity – the speed of receiving and processing data to satisfy the request, etc., have been used. However, this approach does not fully disclose this concept, but deals with its individual aspects. In other studies, you can find the definition of this concept as the inability to process data in traditional ways. However, such a definition can already be considered obsolete, since experts no longer refer technologies for processing large volumes of data to the latest ones. Some experts suggest to abandon this concept altogether. However, due to its wide spread, this is not possible. The development of information technologies has changed our attitude to data and information, and this, in its turn, has influenced the essence of Big Data concept. Now this rather means a special approach – the ideology of processing large amounts of "raw" data. However, it is possible that in future this concept may disappear as outdated and irrelevant one, because large amounts of data and modern approaches to their processing may become common tools and there will be no need to focus on their innovative component.References
Big Data (2019). Wikipedia – the free encyclopedia. URL: https://uk.wikipedia.org/ wiki/Великі_дані (accessed 11 March 2019).
Hurwitz, J., Nugent, A., Halper, F., Kaufman, M. (2015). Big Data for Dummies. Moscow: Eksmo, 400 p. [in Russian].
Kravchuk, S. Is this Big Data? The Future. URL: http://thefuture.news/bigdata (accessed 11 March 2019).
Naidych, A. (2012). Big Data: problem, technology, market. ComPress. E-journal URL: http://compress.ru/ article.aspx? id=22725 (accessed 11 March 2019).
Reymer, D. Gartner: Big Data no longer exists! URL: http://denreymer.com/gartnerend-of-big-data (accessed 11 March 2019).
Savchuk, I. (2014). Big Data is a technology that creates a new type of business. BIT, No. 3 (36). URL: http://bit.samag.ru/archive/ article/1352 (accessed 11 March 2019).
Apache Hadoop. The Apache Software Foundation. URL: http://hadoop.apache.org (accessed 11 March 2019).
Big Data (2008). Nature, vol. 455 (7209), pp. 1–136. URL: http://www.nature.com/ nature/journal/v455/n7209/index.html (accessed 11 March 2019).
BIG DATA 2016: Smart Solutions Forum (2016). Open Systems, 07 April. URL: https://www.osp.ru/news/articles/2016/14/13 048945 (accessed 11 March 2019).
Big Data Working Group. Cloud Security Alliance. URL: https://cloudsecurityalliance. org/working-groups/big-data/#_overview (accessed 11 March 2019).
Gartner says solving 'Big Data' challenge involves more than just managing volumes of data (2011). Gatner, STAMFORD, Conn., 27 June. URL: http://www.gartner.com/new sroom/id/1731916 (accessed 11 March 2019).
Hopkins, B., Evelson, B. (2011). Expand your digital horizon with Big Data. Forrester Research, Inc. Reproduction Prohibited, 30 September, 16 p.
Hurwitz & Associates. URL: https://hurwitz. com (accessed 11 March 2019).
Smith, D. (2011). Hype cycle for cloud computing. Gatner, 27 July. URL: https:// www.gartner.com/doc/1753115/hype-cyclecloud-computing- (accessed 11 March 2019).
Downloads
Published
How to Cite
Issue
Section
URN
License
Copyright (c) 2020 Катерина Олександрівна Кірей The authors who publish in this journal agree to the following terms:The authors reserve the right to authorship of their work and give the journal the right to first publish this work under the terms of the Creative Commons Attribution License CC BY-NC, which allows other persons to freely distribute published work with a mandatory reference to authors of the original work and the first publication of the work in this journal.
Authors have the right to conclude separate additional agreements for the non-exclusive distribution of the paper in the form in which it was published by this journal (for example, posting work in electronic repository or publishing as part of a monograph), provided that the link to the first publication in this journal is maintained.
The journal policy allows and encourages authors to post on the Internet (for example, in repositories of institutions or on personal websites) the manuscript of work, both before the submission of this manuscript to the editorial staff, and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of published work citation (see The Effect of Open Access).