ANALYSIS OF INFORMATION SOLUTIONS FOR GLOBALLY DISTRIBUTED PROCESSING OF CORPORATE DATA IN REAL-TIME SYSTEMS USING CLOUD TECHNOLOGIES

Titov Dmitry Andreevich, Romashkova Oxana Nikolaevna, Chiskidov Sergey Vasilievich

The article provides a comprehensive analysis of information solutions used for globally distributed processing of corporate data in real-time systems using cloud technologies. In the conditions of accelerating digital transformation and globalisation of business, companies are faced with the need to efficiently process large volumes of data coming from various geographically distributed sources. Modern solutions, including distributed databases, streaming data processing technologies, and cloud services from leading providers are considered. Special attention is paid to microservice architecture and containerisation as tools for developing flexible and scalable applications. Practical cases of successful implementation of these technologies in large corporations are presented, the results obtained and benefits for business are analysed. On the basis of the study, recommendations are formulated on the effective implementation and use of the technologies under consideration to improve the productivity and competitiveness of organisations in today's digital economy.

Keywords:globally distributed data processing, enterprise data, real-time systems, cloud technologies, distributed databases, streaming data processing, containerisation, microservice architecture, scalability