The Future of Autonomous SQL Servers: Opportunities and Cybersecurity Risks

Authors

  • Chandrakanth Reddy Borra

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 security

Abstract

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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Section

Articles