Enhancing SQL Server Performance in Azure Environments through Intelligent Query Processing and Automated Index Maintenance
Year: 2025
Type: article
Abstract: Recent innovations in Microsoft SQL Server and Azure SQL Database have introduced fine-grained configuration options, automated tuning, and intelligent query processing features. These enhancements empower database administrators to maintain optimal performance in dynamic cloud-based environments. This paper explores the synergy between index maintenance, statistical accuracy, and automated tuning in SQL Server and Azure SQL. It presents a scenario-based approach to resolving major performance issues and includes a review of recent literature to support best practices in performance tuning.
Author: Asma Hashmi , Alia Mir
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912089577
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