|Title of the article||
METHODOLOGY OF IMPROVING THE PRODUCTIVITY OF THE INFORMATION SYSTEM THROUGH THE OPTIMUM DATA RESTRUCTURING
Bel'chenko Il'ya Vladimirovich, Postgraduate student, Kuban State Technological University (2 Moskovskaya street, Krasnodar, Russia), email@example.com
Backgrounds. The performance of the information system is one of the main indicators of its effectiveness. Most existing information systems and software complexes use relational databases to store information. Designing a database (DB) for an information system consists in the sequential development of a conceptual, logical and physical model. This design sequence has proven effective when the database requirements dictated by the subject area are strictly formalized, the load on the database server is predictable. But there are cases when the information systems working with the database are several. Each of them has its own information requirements, sometimes contradictory, which must be provided by the database in the shortest possible time. In such cases, the task of forecasting the load, allocating the most resource-intensive queries requires the use of methods of system analysis. The purpose of the work is the theoretical justification of the methodology for increasing the productivity of the information system through optimal data restructuring.
decision support system, optimization, data structures, databases, system analysis
1. Bogdanova A. V., D'yachenko R. A., Bel'chenko I. V. Politematicheskiy setevoy elektronnyy nauchnyy zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta [Polytechnical network electronic scientific journal of Kuban State Agrarian University].
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