Cloud Computing in Data Management: Strategic Models, Performance Analysis and Quantum Integration Trends

Abstract

Cloud computing systems, at the center of digital transformation, represent a paradigmatic shift
in enterprise computing technologies. Radically transforming traditional data management approaches, this
technological ecosystem is redefining the foundation of computing infrastructures.
Governance is the organization's control and oversight of procedures, policies and standards and
applications in terms of design, implementation, testing and use. The fact that cloud computing enables
simple use over a wide area makes it difficult for organizations to control the arbitrary use of services by
their employees. An important advantage of cloud computing is that it reduces the resources spent on capital
investment and covers the costs incurred for operational services. In this way, both the financial and time
expenditures required for new services are reduced and the return on financial investments is accelerated.
This study examines the theoretical framework of data management models in modern cloud computing
systems, their performance dynamics and future technological trends in the light of quantum advances with
a holistic approach. The research reveals the strategic importance of cloud data management, comparative
performance analysis and future technological projections. The study underlines the importance of quantum
computing integration and draws the reader's attention to this critical technological dimension. The
potential revolutionary role of quantum technologies in cloud data management systems is thus more clearly
emphasized.