Optimizing Cloud Data Management Through Oracle Database Cloud Engineering

Abstract

The given paper will examine the possibilities of Oracle Database Cloud Engineering applying the strategies of performance, security, and compliance optimization of the cloud data management. It specifies on multi-layered security, such as encryption, access control, auditing, and monitoring based on AI in Oracle Cloud Infrastructure. Response time of queries, throughput and cost efficiency was analyzed by quantitative experimentation and simulation. Findings reveal that performance-optimized Oracle graphs contribute to maximizing the scale, minimizing latency, and high-BDPR and HIPAA adherence. It has been seen in the proposed framework that both security and efficiency can be maintained by using special attention to engineering optimization and automated deployment models with the integration of both -Oracle Cloud and on-premises systems.