I’m In Your Area
If you’re in the New York area and looking for some great free SQL Server training, head to SQL Saturday NYC.
We’ve got a great lineup of speakers covering a wide variety of topics that can help you learn no matter what your job function is.
And of course, if you’re looking for a full day of training, we’ve got a precon with Joe Obbish the Friday before the event (October 4th).
Joe Obbish – Clustered Columnstore For Performance
Clustered columnstore indexes can be a great solution for data warehouse workloads, but there’s not a lot of advanced training or detailed documentation out there. It’s easy to feel all alone when you want a second opinion or run into a problem with query performance or data loading that you don’t know how to solve.
In this full day session, I’ll teach you the most important things I know about clustered columnstore indexes. Specifically, I’ll teach you how to make the right choices with your schema, data loads, query tuning, and columnstore maintenance. All of these lessons have been learned the hard way with 4 TB of production data on large, 96+ core servers. Material is applicable from SQL Server 2016 through 2019.
Here’s what I’ll be talking about:
– How columnstore compression works and tips for picking the right data types
– Loading columnstore data quickly, especially on large servers
– Improving query performance on columnstore tables
– Maintaining your columnstore tables
This is an advanced level session. To get the most out of the material, attendees should have some practical experience with columnstore and query tuning, and a solid understanding of internals such as wait stats analysis. You don’t need to bring a laptop to follow along.
Location:
Courtyard Times Square – 114 West 40th street NY, NY 10018
Meeting Room – Lower Level – Meeting Room A & B
Going Further
If this is the kind of SQL Server stuff you love learning about, you’ll love my training. I’m offering a 75% discount to my blog readers if you click from here. I’m also available for consulting if you just don’t have time for that and need to solve performance problems quickly.