The impact of choosing database architecture on organization strategic goals

in the modern realities of the rapid growth of information volumes and the increasing value of knowledge as a strategic resource, organizations need a special approach to storing, processing and managing large amounts of data from various sources – from customer transactions to IoT sensors. Choosing the right database architecture becomes a key factor in the success of an enterprise, contributing to the achievement of long-term strategic business goals. Objective: to identify the relationship between the choice of database architecture and the ability of an organization to achieve its strategic goals in the era of big data. Methods: in the course of the research, a systematic analysis, a comparative approach, and a review of modern research in the field of knowledge management and databases were used by the following Russian scientists: M.N. Titova, E.M. Ilyinskaya, V.A. Plotnikov, S.P. Koida, I.L. Avdeeva, M.M. Aliyev, A.I. Bolonin, K.M. Ismailova, O.V. Manukhina and Ya.V. Mishchenko, etc. Results: the study examines the role and importance of various database architectures, such as relational, NoSQL and hybrid systems; analyzes the advantages and disadvantages of each model in relation to various business tasks, including improving the efficiency of decision-making processes. Conclusion: practical recommendations are given on choosing the optimal database architecture based on the specifics of the organization's activities.

knowledge management, databases, Big Data, strategic goal, relational databases, non-relational databases