РОЗВИТОК І ТРАНСФОРМАЦІЯ ПОНЯТТЯ BIG DATA

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 However, it is possible that in future this concept may disappear as outdated and irrelevant one, because large amounts of data and modern approaches to their processing may become common tools and there will be no need to focus on their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.