Best SQL Server Bloggers -- Visual Studio Magazine

Data Driverby David Ramel

Best SQL Server Bloggers

I found an interesting site that ranks the best SQL Server bloggers. Maintained by Thomas LaRock, the SQL Rockstar site provides his personal rankings of SQL Server-related bloggers in a number of categories.

For example, the RESOURCEDB group, which LaRock describes as “the bloggers you should immediately start following and never stop,” includes the following:

Glenn Berry (blog | @GlennAlanBerry)
Jonathan Kehayias (blog | @SQLPoolboy)
Brent Ozar (blog | @BrentO)
Paul Randal (blog | @PaulRandal)
Kimberly Tripp (blog | @KimberlyLTripp)
Buck Woody (blog | @buckwoody)

I counted nearly 60 bloggers listed across all the groups. Wow. If Thomas has time to keep up with that many bloggers and still have a day job, well, more power to him. I certainly couldn't do that.

I also noticed that the site concerns SQL Server generally, with a lot of DBA stuff, career advice and so on. So, in view of those two points, I'd like a more concise ranking of bloggers more specific to the interest of Data Driver readers: database development (SQL Server mainly, but other technologies are fair game, also).

So who better to compile such a list than you readers? Such a list would benefit us all, and here's your chance to weigh in. Comment here or shoot me an e-mail with your votes for the best database development bloggers.

Posted by David Ramel on 07/17/2012 at 1:15 PM

comments powered by Disqus

Featured

Microsoft Remakes Azure Quantum Dev Kit with Rust, 'and It Runs in the Browser!'

"The' tl;dr' is that we rewrote it (mostly) in Rust which compiles to WebAssembly for VS Code or the web, and to native binaries for Python."
GitHub Copilot Chat Beta Opens Up for Everybody

GitHub Copilot Chat has taken another step toward general availability, as GitHub announced a beta offering previously accessible only by team/business customers is now available to individuals.
Tools and Libraries for Building Cloud-Ready Apps in .NET

Creating any kind of software application is difficult enough, but in the cloud things only get harder when complexities like microservices, distributed teams and so on are thrown into the mix.
Gaussian Process Regression from Scratch Using C#

GPR works well with small datasets and generates a metric of confidence of a predicted result, but it's moderately complex and the results are not easily interpretable, says Dr. James McCaffrey of Microsoft Research in this full-code tutorial.