International Journal of Computer Techniques Volume 12 Issue 4 | Enhancing SQL Server Performance in Azure Environments through Intelligent Query Processing and Automated Index Maintenance
Enhancing SQL Server Performance in Azure Environments through Intelligent Query Processing and Automated Index Maintenance
Authors:
Asma Hashmi | Alia Mir
Journal: International Journal of Computer Techniques – Volume 12 Issue 4
Publication Date: July – August 2025
ISSN: 2394-2231
URL: https://ijctjournal.org/
Abstract
Recent enhancements in Microsoft SQL Server and Azure SQL Database—including intelligent query processing and automated tuning—enable improved performance and stability in cloud environments. This paper explores how index maintenance, updated statistics, and database-scoped configurations combine to form a resilient tuning strategy for administrators.
Keywords
SQL Server, Azure SQL, Intelligent Query Processing, Index Maintenance, Performance Tuning, Cloud Databases, Automated Tuning, Database Configuration
Conclusion
SQL Server’s intelligent processing features and automation tools provide administrators with effective ways to manage performance in dynamic environments. By combining built-in capabilities with best practices, organizations can resolve query regressions and system bottlenecks proactively.
References
- Delaney, K. (2020). “SQL Server Statistics Best Practices.” SQLSkills.
- White, P. (2021). “Understanding Query Plan Regressions.” ExecutionPlan.com.
- Microsoft. (2022). “Intelligent Query Processing – Microsoft Learn.”
- Ozar, B. (2023). “SQL Server Index Maintenance Strategies.” BrentOzar.com.
- SQL Server Documentation – Microsoft Learn.
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