AI-Based SQL Database Observation System: An Intelligent Framework  for Real-Time Performance Monitoring and Anomaly Detection

Sumit Gupta

AI-Based SQL Database Observation System: An Intelligent Framework for Real-Time Performance Monitoring and Anomaly Detection

Authors

Sumit Gupta

Keywords:

Artificial Intelligence, SQL Database, Performance Monitoring, Anomaly Detection, Machine Learning, Real-time Observation, Database Optimization

Abstract

Database performance monitoring has become increasingly critical as organizations managegrowing volumes of data and complex query operations. This research presents an intelligentAI-based observation system for SQL databases that leverages machine learning algorithms to monitor performance metrics

References

Anderson, K.L., Thompson, R.J. and Davis, M.A. (2022) 'Machine learning approaches for automated database administration and performance optimization', Journal of Database Management, 33(2), pp. 45-67

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Published

2024-05-20

How to Cite

Sumit Gupta. (2024). AI-Based SQL Database Observation System: An Intelligent Framework for Real-Time Performance Monitoring and Anomaly Detection . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3180–3193. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4402