The Future of Autonomous SQL Servers: Opportunities and Cybersecurity Risks
Keywords:
Autonomous databases, self-tuning SQL servers, AI-driven database security, query optimization, adversarial machine learning, zero-trust database architecture, automated privilege management, cloud database securityAbstract
Autonomous SQL servers represent a paradigm shift in database management, leveragingartificial intelligence and machine learning to automate traditionally manual administrativetasks including query optimization, patching, indexing, and workload prediction. This research examines the evolution from conventional database
References
A. Pavlo and M. Aslett, "What's Really New with NewSQL?" ACM SIGMOD Record, vol. 45, no. 2, pp. 45-55, June 2017.
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Published
2023-02-18
How to Cite
Chandrakanth Reddy Borra. (2023). The Future of Autonomous SQL Servers: Opportunities and Cybersecurity Risks . Journal of Computational Analysis and Applications (JoCAAA), 31(2), 663–691. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4597
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