Hugo Kornelis is an established SQL Server communiity expert who spends a lot of time at various conferences. He is also a blogger, technical editor of a variety of books, and Pluralsight author. He was awarded SQL Server MVP and Data Platform MVP 12 times (2006 - 2016 / 2019 - now).
When not working for the community, he is busy at his day job: freelance database developer/consultant.
Hugo has over 20 years of SQL Server experience in various roles. He has a strong database design background, but also loves to write and tune complex queries.
Sessions
Previous Sessions
This session will present you with a fascinating behind-the-scenes deep-dive view of the new column store index feature. How do column store indexes work? How are they built? And how can they yield such enormous performance boosts to some workloads?
In this demo-rich session, Hugo Kornelis shows how the full syntax of MERGE enables more than just synchronizing data. You'll get an overview of all the available options, plus a few surprising pitfalls you may not be aware of.
Indexes are the best instrument for query optimization. But what kind of indexes and on what columns? The key to answering those questions is understanding how indexes are stored and used by SQL Server. And that is exactly what this session is about.
T-SQL user-defined functions may appear to be a good tool for code encapsulation and reuse, but they can have a dramatic impact on performance. In this session, you'll see why they slow down your queries, and how you can avoid this performance hit.
Many people think that normalization stops at Third Normal Form. But there are lots of higher normal forms. And they are not as complex or as irrelevant as often claimed.
If you want to design better databases, then come attend this session!
SQL Server 2019 includes new query processing features such as batch mode on rowstore, memory grant feedback, approximate query processing, and more. How do these work? Are they as good as Microsoft wants us to believe?
SQL Server 2019 introduces FROID, a framework to inline user-defined functions, promising much better performance. What problem does it solve? And how does it work?
Execution plans are key to understanding bad query performance. But they can be overwhelming to the new user. Where to start? This session will show the basics!
You know where to find an execution plan. You have taken your first steps reading them. But how are you going to apply this knowlledge to real world problems?