You need to speed up a SQL Server app, but you only want to make index changes. You don’t want to buy hardware, change SQL Server, or change the code. Good news – I’ll teach you how in 3 days of learning and fun. Join me, Brent Ozar, as I explain how to make your SQL Server apps go faster just by tuning the indexes.
You’ll work along with me in a VM – each student gets their own lab VM in the cloud with the Stack Overflow database and running workloads. Each day is structured like this:
- 9AM-Noon – lectures, where I explain the concepts you’ll be working on
- Noon-2PM – lab and lunch. It’s up to you whether you work on the lab for an hour first, then go to lunch, or vice versa, or spend more time on the lab. Or have martinis for lunch. Whatever.
- 2PM-3PM – you watch me work through the lab you just did, explaining my techniques as I go.
- 3PM-4PM – afternoon lecture
- 4PM-5PM – lab homework (and you can also work on this later if you like – your VM will stay on overnight.)
This mix of lectures and labs helps reinforce the topics you’re learning and makes sure that you’ll be able to tackle the same kinds of projects in your own environment. (Many students do just that: after hours, they switch into their own environments and use the same diagnostic queries to make immediate improvements in their apps.)
This is an online class – I (Brent) host it in GoToWebinar, live with me on webcam, taking questions as we go through the material together. Audio can come through either your computer audio, or by dialing into a US phone number – headset recommended either way. For more information, check out the Training Logistics PDF for our online classes.
You can watch again later with Instant Replay – for one year from the date of your course, you can watch a recorded version via online streaming. Brush up on stuff you missed or revisit your favorite topics. It’s the best of both worlds: live training with Brent, plus reminders.
Prerequisites – you need to be already thoroughly familiar with our free 90-minute class, How to Think Like the SQL Server Engine.