online education

An analytical review of the development of Data Lakes and its application in various industries, as part of Big data concept solutions, was conducted. The available standard architectural solutions for the Data Lake organization are considered. Also, specialized areas that require different or additional aspects to solve the tasks, depending on the field of Data Lake use, are taken into account. For the proper organization of Data Lake, various data processing tools are used, including distributed data storage systems, semantic networks, and especially metadata.

The impact of the pandemic on educational processes in Ukraine is analyzed. The problematic moments observed during distance learning, positive and negative factors of online  education are considered. Factors that can lead to conflict situations in the educational process and complicate the process of collecting and analyzing information are presented. The use of machine learning methods for big data analysis in distance learning systems is proposed.