Optimizing Azure SQL Database Performance and Concurrency

Slow database queries and locking issues can bring your applications to a crawl, frustrating users and increasing cloud costs. Mastering database performance tuning is the key to delivering fast, scalable, and cost-effective cloud solutions. This text-based course guides you through the foundational concepts of database optimization in Azure SQL Database. You will progress from understanding basic service tiers to analyzing complex execution plans, managing concurrent transactions, and resolving resource bottlenecks. What you'll learn: • Learn how to choose the optimal Azure SQL Database service tier and compute model, including serverless options, to balance cost and performance. • Understand how database concurrency works and how to configure transaction isolation levels to prevent data anomalies. • Analyze query execution plans and Dynamic Management Views (DMVs) to pinpoint slow-running queries and resource bottlenecks. • Configure and use the Query Store to monitor performance regressions and force optimal execution plans. • Resolve blocking scenarios and deadlocks by writing efficient queries and utilizing proper indexing strategies. • Apply modern automatic tuning features to let the database self-optimize safely. The course begins with essential database performance concepts and configuration options before moving into practical query analysis, indexing strategies, and concurrency management. You will work through written scenarios and code examples designed to build real-world troubleshooting skills. This course is designed for beginner database administrators, application developers, and cloud engineers who want to improve database efficiency. No prior performance tuning experience is required, though a basic understanding of SQL queries is helpful. Start optimizing your database performance and build faster cloud applications today.