Data Driver

Blog archive

So Long, SQL Server 2005

Microsoft this week released the last cumulative updates for SQL Server 2005 and will end mainstream support for the product in a few weeks.

The Cumulative Update #15 for SQL Server 2005 Service Pack 3 contains six fixes, while the Cumulative Update #3 for SQL Server 2005 Service Pack 4 contains five fixes.

Although mainstream support ends April 12, technical support will continue for another five years for the latter service pack.

And plan ahead: technical support of SQL Server 2008 Service Pack 1 ends Oct. 11.

What version do you run? Do you feel pressured to upgrade? Comment here or send me an e-mail.

Posted by David Ramel on 03/23/2011


comments powered by Disqus

Featured

  • Cloud-Focused .NET Aspire 9.1 Released

    Along with .NET 10 Preview 1, Microsoft released.NET Aspire 9.1, the latest update to its opinionated, cloud-ready stack for building resilient, observable, and configurable cloud-native applications with .NET.

  • Microsoft Ships First .NET 10 Preview

    Microsoft shipped .NET 10 Preview 1, introducing a raft of improvements and fixes across performance, libraries, and the developer experience.

  • C# Dev Kit Previews .NET Aspire Orchestration

    Microsoft's dev team has been busy updating the C# Dev Kit, a Visual Studio Code extension that enhances the C# development experience by providing tools for managing, debugging, and editing C# projects.

  • Hands On: New VS Code Insiders Build Creates Web Page from Image in Seconds

    New Vision support with GitHub Copilot in the latest Visual Studio Code Insiders build takes a user-supplied mockup image and creates a web page from it in seconds, handling all the HTML and CSS.

  • Naive Bayes Regression Using C#

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other machine learning regression techniques, naive Bayes regression is usually less accurate, but is simple, easy to implement and customize, works on both large and small datasets, is highly interpretable, and doesn't require tuning any hyperparameters.

Subscribe on YouTube

Upcoming Training Events