Problems of designing information systems for big data processing

The subject of the research is the problems of designing information systems that allow effective analysis of big data. The progressive growth of data volume in various fields of economic activity is the most important factor in the demand for fault-tolerant and scalable corporate information systems. The latter examines the limitations of traditional database management systems and the need for new architectures such as distributed and cloud computing. The purpose of this article is to propose a comprehensive consideration of the main factors in the design of an information system for processing large amounts of data, with an emphasis on unique technical and organizational characteristics. Key issues of concern include data storage and retrieval, system scalability, real-time processing requirements, integration of data from diverse sources, and ensuring data quality and security data. The methodology for solving the problem included several approaches – a comparative one, which was based on the method of analyzing scientific literature, which presents existing projection solutions to Big Data problems, an abstraction method applied to the analysis of the properties of design systems that distinguish all common systems, as well as a predictive approach to identify promising architectural solutions to Big Data. The novelty of the research lies in the systematization of projection solutions for big data processing systems in domestic and foreign practice, taking into account current trends in the development of Big Data technologies. The classification of existing approaches to big data storage and processing, including proprietary servers, specialized data centers and cloud solutions (Data cloud), systematized the main technologies of big data analysis, identified the features of Big Data application in various industries, identified the key characteristics of modern big data processing systems combined with the characteristics of information flow capabilities and protection of personal data. Conclusion: the systematization of projection solutions allows us to create a comprehensive picture of the current state and prospects for the development of big data processing systems, which is important for the practical application of these technologies in various fields of activity.