PRACTICAL ASPECTS OF SELECTING DATABASE MANAGEMENT SYSTEMS IN THE EDUCATION OF ENGINEERING STUDENTS

Abstract

The article emphasizes the importance of the academic discipline “Databases” as a key element in developing the professional competencies of students in technical specialties. The practical significance of this discipline for training future specialists in information technology is highlighted, particularly in the areas of data design, administration, and analytical usage. The purpose of the study is to substantiate the criteria for selecting database management systems (DBMS) for use in the educational process of technical universities. The study analyzes the most popular modern DBMSs, including MySQL, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, and others. Special attention is given to the need for educators to consider the correspondence between the chosen system and the educational objectives, the specialization profile, the availability of teaching resources, technical capabilities, and current IT market trends. The significance of implementing student projects that involve the creation and use of databases is emphasized as an effective tool for reinforcing practical skills. The article examines the fundamental topics and concepts common to all types of DBMSs, regardless of the platform, since their study provides an understanding of database principles, the differences between relational and non-relational models, and the advantages and disadvantages of each approach. It is noted that the proper selection of a DBMS has a significant impact on the quality of the educational process and learning outcomes. An analysis of student coursework and thesis projects revealed a trend toward the predominant use of MySQL for studying relational systems and MongoDB for exploring NoSQL principles. This confirms their effectiveness as educational platforms aligned with modern labor market demands. Furthermore, the study highlights the importance of integrating practice-oriented learning with student project activities, which allows students not only to study database principles theoretically but also to apply them in real information system models. The paper proposes a approach to selecting database management systems for educational purposes based on the combination of didactic, technological, and market criteria. The novelty lies in defining a system of criteria that enables instructors of technical specialties to make well-grounded decisions regarding the choice of DBMS. It is concluded that the combined use of relational and NoSQL technologies contributes to a deeper understanding of database architectures and enhances students’ practical readiness for participation in modern IT projects.