Approach to the choice of Big Data processing methods in financial sector companies

Abstract

The paper describes the tasks of financial sector companies, solved using the technology of processing Big Data. The possibilities of using Big Data for solving the problems considered are analyzed. A comparative analysis of the methods for processing Big Data has been carried out, a correspondence has been established between the methods considered and the tasks being solved by the companies of the financial sector. Criteria for choosing methods for processing Big Data are developed depending on the type of tasks, instrumental support of the proposed approach has been performed.