I’m excited to announce that on June 17 – 18, 2025, I’ll be running a special Online Live Training event focused entirely on SQL Server Query Tuning! This is a compact, intensive 2-day version of my highly acclaimed SQL Server Query Tuning Workshop – a course I delivered extensively across Europe before the COVID-19 pandemic. Hundreds of database professionals have benefited from this hands-on workshop, and now it’s your turn to experience it live and online, from the comfort of your own home or office.
Why attend?
In just two focused days, you will learn everything you need to know to truly master query tuning and dramatically boost the performance of your SQL Server databases. Whether you manage large production systems or work on complex development projects, the techniques you’ll acquire will make an immediate and measurable impact.
Course Overview:
Are you frustrated with slow-running queries but don’t know how to fix them?
Do execution plans look confusing or overwhelming?
Have you spent hours troubleshooting performance problems with little success?
If you answered “yes” to any of these, this training is exactly what you need!
Throughout this live training, you’ll gain the skills to:
- Confidently read, interpret, and analyze SQL Server execution plans.
- Identify common query performance problems – and fix them fast.
- Apply proven tuning strategies to make your queries run faster and more efficiently.
- Understand how SQL Server’s query optimizer works – and how to work with it, not against it.
- Avoid common pitfalls that silently hurt performance.
Who should attend?
This training is perfect for:
- SQL Server DBAs
- Developers working with SQL Server
- Database architects and consultants
- Anyone looking to deepen their SQL Server performance tuning skills
Bonus: You’ll also get plenty of real-world examples, scripts you can use immediately, and the opportunity to ask your questions live!
👉 Register now and take the first step toward becoming a SQL Server Query Tuning expert!
Thanks for your time,
-Klaus
