Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://repositsc.nuczu.edu.ua/handle/123456789/17610
Назва: BIG DATA MARKET AS A MODERN TOOL FOR SYSTEMATIZATION OF KNOWLEDGE ON THE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEMS
Автори: Naumik-Gladka, Kateryna
Cherevychna, Nataliia
Ruban, Artem
Ключові слова: Big Data market
socio-economic systems
ERP-systems
systematization of knowledge
Дата публікації: 2023
Видавництво: Kharkiv
Бібліографічний опис: «Global Scientiic Trends: Economics and Public Administration»
Серія/номер: Vol.4;
Короткий огляд (реферат): The authors prove that evolution of systematization of knowledge on the development of innovation of socio-economic systems took place during several stages, the first of which was the development of enterprise applications and data warehouses, which later was transformed into ERP-systems, and eventually took the form of big data. The study shows that the market for information technology, built on the basis of Big Data, is developing rapidly, and ensures the development of innovation in socio-economic systems, in particular, primarily through the automation of retail, securities transactions and investment services, which are one of the key components of the socio-economic sphere. The results of analysis that there are the following 5 leading industries in the sphere of Big Data: banking sector, discrete production, specialized services, continuous production and central government. Besides, Big Data analysis technology is the most commonly implemented technology among domestic companies: 68% of organizations had already tested the introduction of Big Data Analysis tools
Опис: The direction of systematization of knowledge on the development of innovation of socio-economic systems based on the use of Big Data can be applied in cases where the data is too much to be processed by traditional means, including a server with a relational database. However, the exact quantitative values of the information at which the data become "large" are not defined. The scope of the technology depends on the computing hardware capacity and the number of records in the database, i.e. in some cases gigabytes of data can already be considered as Big Data, because the computer system cannot handle their timely processing, and in others - petabytes of information are processed using classic methods and, therefore, are not "big". Big Data is often associated with the Hadoop framework, although this technology is also based on the concept of NoSQL data warehouses and the technique of parallel processing of distributed MapReduce data.
URI (Уніфікований ідентифікатор ресурсу): http://repositsc.nuczu.edu.ua/handle/123456789/17610
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