4th - 7th May 2016



Brent Ozar

Brent Ozar specializes in making SQL Server faster and more reliable.   He's a Microsoft Certified Master of SQL Server and MVP, and he has over a decade of experience.  He coauthored Professional SQL Server 2008 Internals and Troubleshooting, created sp_Blitz® and sp_AskBrent®, and he loves sharing knowledge at BrentOzar.com.
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Making your T-SQL fast isn't really all that different from building and driving race cars. Learn lessons from racing icons that you can apply right away in your databases.
Got a slow application or server, and not sure where to start? Brent will explain how to use the two most popular free tools and how to read their results.
These two technologies can make a very big – and very bad – difference in how your SQL Server performs. Wouldn’t it be great if you could get the real, honest lowdown from a virtualization administrator, a SAN administrator, and a DBA? Wouldn’t it be even better if one person had done all three, and could give you the pros and cons of each point of view? That person is Brent Ozar, a Microsoft Certified Master who’s been there and done that.
PANIC IN THE DATACENTER! Your databases are approaching - or surpassed - the Terrible Terabyte mark. You're pouring money into the SAN, but your data isn't pouring back out as fast as you want. You're terrified to DBCCs or index maintenance because everything takes forever, and you don't have big maintenance windows.
You don't buy a lot of servers, but you're about to deploy SQL Server, and you only get one chance to make it right. Brent Ozar will boil down everything you need to know into just a few simple decisions including SQL Edition, sockets, and RAM.
How does SQL Server build results? We'll role play: Brent Ozar will be an end user sending in queries, and you'll be SQL Server. This session is for people who are comfortable writing queries, but not with indexes, statistics, and sargability.
Ever wonder how someone else does it? There’s no right way or wrong way, but in this session you can peer over Brent’s shoulder (virtually) while he takes a few Stack Overflow queries and tries various techniques to make them faster.
You're a DBA who's struggled with Perfmon metrics and Profiler. You're facing a sea of confusing numbers, and you don't know where to focus first. Microsoft Certified Master Brent Ozar will give you a friendly introduction to wait statistics.
You're hearing a lot about the new features in SQL Server, but you're not hearing a lot about the drawbacks. Ever wonder why? Join Brent Ozar, the guy behind DBAreactions.com, for a sarcastic, funny look at SQL Server 2014's "features" and bugs.

Blog posts RSS

[Video] Office Hours 2016/02/03 05 Feb 2016
In this week’s Office Hours Q&A, Erik, Tara, Doug, and the new guy Richie Rump answer fast-paced questions about logging Perfmon counters to a table, Standard Edition’s 4-socket licensing limit, whether odd or even MAXDOP numbers make a difference, and – one … Continue ...

New York City: The Data That Never Sleeps 04 Feb 2016
I love living in the city Blog posts about people’s favorite data sets seem to be popular these days, so I’m throwing my hat in the ring. NYC has been collecting all sorts of data from all sorts of sources. … Continue reading →

When Shrinking Tempdb Just Won’t Shrink 03 Feb 2016
I am not a proponent of shrinking databases, but sometimes you have to because your momma said to. Sometimes that database is tempdb. It used to be that we were warned against shrinking tempdb because it could cause corruption, so … Continue reading →

A funny thing happened on my way to set up Mirroring… 02 Feb 2016
I’ve set up Mirroring about a billion times I’m not bragging about that. I’d rather say that I set up a billion AGs, and not one of them ever failed. But then I’d be lying to you; those things fail … Continue reading →

Introducing Our Latest Employee, Richie Rump (aka @Jorriss) 01 Feb 2016
During our very first training class, we showed the students how we use SET STATISTICS IO ON to get the number of logical reads performed on each table in a query, and then sum ’em up to see the query’s overall … Continue reading →