Analysis of Methods for Data Structuring in Data Centers

Data Centers are significantly important components of the main part of information systems all over the world. This paper presents an overview of the main stages of information consolidation and a short review of historical origins of data centers - from mainframes to the modern systems. This article is describing core components of Data Centers, their features, functions and purposes. As follows, the performed analysis helps to identify urgent problems that exist in Data Centers and to find the ways to protect data processed in the system. In this paper, we targeted the main models of data structuring in Data Centers to decrease the security of the systems through proposing algorithms that use the methods of artificial intelligence, neural measurements, methods of preliminary analysis, statistics and Natural Language Processing. The study is focused on the investigation of the main areas of Big Data technology application and determining the relationship between the level of efficiency of the cybersecurity system and the profitability of enterprises.