SQL Saturday in Cleveland, Ohio is next week, on February 3rd. If you’re in the area or can easily make it there, I hope that you can come out for a great day of free SQL Server training. I enjoy presenting at SQL Saturdays; they’re fun and educational days for speakers and attendees, alike. Last time we were in Cleveland it had snowed overnight when it was time to leave town on Sunday morning. I’ve lived even longer in the south now, so if that happens again, it’ll be even more fun this time.
In addition to my session on Saturday, where I will talk about using database projects in SSDT/Visual Studio, I’ll also be presenting an all-day session Friday on Azure Infrastructure. Planning and designing your infrastructure is just as important in the cloud as it is when building new systems on-premises. As Azure continues to grow and expand around the world, more companies will be choosing to migrate (or deploy new) services to the public cloud. Understanding the underlying components is imperative to maximum-performance and highly-successful Azure deployments and hybrid migrations. In this session, we’ll cover infrastructure fundamentals with a bit of a focus on deploying and running SQL Server in Azure; however, there will be plenty of general background discussion that can be used for any workload.
Registration for this precon is available here, on EventBrite: https://www.eventbrite.com/e/azure-infrastructure-presented-by-kerry-tyler-tickets-41688096218, with information about the overall SQL Saturday event available here: www.sqlsaturday.com/708
Saturday is free, but tickets for the full-day precon are $150.
I hope to see you next weekend!
As she does on a regular basis, my friend Karen Lopez ( blog | @datachick) is hosting a new webinar this week hosted by Dataversity. The topic, as the title of this post suggests, is about the good, bad, and craziness of normalization. The event is this Thursday at 2:00p Eastern Daylight (GMT -4).
Why am I sharing this? Well, I’m going to be there, too, playing the role of sidekick, because Karen’s the one that actually knows what she’s talking about 😉 . These webinars are always a good time, and you usually learn something, to boot.
It is free to everyone, but registration is required. More information and a link to register is available on this page.
If you join, stop in early while we do some audio checks, hang out and chat a bit beforehand. It’s a fun, informal time before the webinar proper starts. Stay tuned in via Twitter, as well. Monitor the #heartdata hashtag to participate in the conversation.
Hope to see you there!
From the “There’s a first time for everything” file, I can announce that I’m going to be joining an online panel discussion this Thursday (ie, tomorrow), April 24 at 2:00p EDT (11a Pacific). I know!
This discussion will be about Ethics and Data Modeling. It’s part of a monthly series put on by Dataversity covering Big Challenges in Data Modeling.
We’ll cover questions like what to do when asked to do something “wrong” (and maybe what the definition of “wrong” is in the first place) and if there are any items in particular that a data modeler/someone doing that task need to be especially aware of. Although these questions apply to anyone in the data field—or anyone in IT or business at all, for that matter—this conversation will be focusing on how they apply to data modeling specifically.
Participating will be Len Silverston, Denny Cherry, and Tamera Clark, with the whole apparatus MC’d/hosted by Karen Lopez (the one and only DataChick).
The broadcast is free, but you do have to register to get the sign-in information. That can be done at the webinar’s main announcement page (look for the round “Click to Register” graphic), along with reading full bios for all of us.
In addition to the Q&A and participant chat that will be going on during the discussion, you can follow the #BCDMOdeling hashtag on the tweeter. We’ll all be watching that as well.
Sign up, come out, ask some questions, and generally have a good time. Oh, and probably learn something, too. Can’t forget that.