Orchestrating Data Governance and Regulatory Compliance within the Oracle Cloud Ecosystem

Abstract

The paper is quantitative research related to the shortcomings of data governance and regulatory compliance, which can be successfully coordinated within the Oracle Cloud ecosystem. The research implementation works with automation, policy-as-code, and lineage tracking in order to enhance the accuracy of compliance and audit latency. The Oracle Cloud Infrastructure was experimented using several compliance models including GDPR and SOX. Findings indicate that automation is an effective way of improving the performance of the governance by adding more precision and decreasing the work done manually. The article also shows accessible checking in real-time through policy enforcement by codes and anomaly detection, which transports a replicable model of managing compliance of the clouds.