Currently, digital technologies and artificial intelligence mechanisms are being widely implemented in all spheres of education, socio-economic, management, and production. Data exchange and high-quality processing of data through the Internet is increasing dramatically today. As a result of it, there is a sharp increase in the volume of data. The issue of high-quality and fast processing of this big data using non-traditional methods and systems is becoming one of the current research topics. In this research work, the problem of using machine learning methods in the distribution of tables in the database for fast data processing and optimal storage in information systems is solved. The effectiveness of using multiple linear regression and polynomial regression algorithms of machine learning was analyzed. As a result, the efficiency of the distribution of tables in the database has been increased based on machine learning.