Database management is a complex process that requires a large amount of data to be archived. In today’s data-intensive landscape, efficient management of stale data poses a significant challenge for organizations. Traditional data archiving approaches rely on static rules or manual interventions. This paper presents the findings of a research project aimed at addressing a critical gap in the domain of database management, focusing on Oracle databases.
Through the implementation of a novel and dynamic data archiving solution based on access patterns and periodic processes, this research
demonstrates tangible improvements in database performance and storage efficiency while minimizing manual intervention. Drawing on insights
from existing literature and employing an interdisciplinary approach, the findings of this research underscore the transformative potential of access-pattern-based data archiving in Oracle databases, which contributes to advancing the discourse on database management practices.
