On teaching and the practice of implementing big data in higher educational institutions (applying hierarchical clustering to big data)

Abstract

In modern society, the rapid growth in the volume of data streams stored in various computing devices creates a need for big data analysis and increases the demand for specialists with professional competencies, since the training of future specialists in the field of big data is associated with the need for a comprehensive study of software and hardware, environments. programming and integrating them into the educational process. To do this, this article proposed practical work necessary to improve the knowledge of students of higher educational institutions, the formation of new skills and abilities based on the storage, processing and analysis of large amounts of data in the R programming environment.