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We're here to help you find itPerformance Tuning and Optimizing SQL Databases Course Overview
The Performance Tuning and Optimizing SQL Databases course is designed to equip learners with the knowledge and skills required to maintain and optimize the performance of SQL Server databases. This SQL performance tuning course delves into the intricacies of SQL Server architecture, including components, scheduling, and wait events. It covers a broad range of topics, from the fundamentals of SQL Server I/O, database structures, and memory management to the more advanced concepts of concurrency, transactions, and query plan analysis.
Participants will learn how to analyze and troubleshoot performance issues using tools such as Extended Events and the Query Store, understand the importance of accurate statistics and indexing strategies for query optimization, and explore techniques for caching and recompilation to improve execution plans. By completing this comprehensive performance tuning course, learners will develop a strong foundation in identifying and solving performance bottlenecks, ensuring their SQL databases run efficiently and effectively.
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4-Hour Sessions
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♱ Excluding VAT/GST
Classroom Training price is on request
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the Performance Tuning and Optimizing SQL Databases course, the following prerequisites are recommended:
These prerequisites are meant to provide a foundation that will help you grasp the advanced concepts discussed in the course more effectively. If you find that you are not comfortable with any of these areas, it may be beneficial to seek out introductory courses or resources to strengthen your understanding before undertaking this advanced training.
The Performance Tuning and Optimizing SQL Databases course is designed for IT professionals focused on database efficiency and health.
Gain deep insights into SQL Server's performance tuning and optimization, exploring its architecture, I/O, memory, concurrency, transactions, and query execution for improved database management and efficiency.