In-Depth

What''s New in ADO.NET 2.0

Discover the new extensions that Microsoft has added to ADO.NET 2.0. You''ll benefit from better performance, a provider-independent programming model, and other new features.

Watch the video of the session! (Running time: 45 minutes, Windows Media format)

ADO.NET is the data access framework for .NET applications. The original version included in .NET 1.0/1.1 introduced the core elements for simple, efficient data access in both connected and disconnected scenarios. In this talk, Jennifer Perret will go through the new cool extensions that Microsoft has added to ADO.NET in the .NET 2.0 release. Better performance, a provider-independent programming model, and integration with new innovations in the .NET 2.0 CLR and .NET Framework are some of the new features that are covered in this session.

comments powered by Disqus

Featured

  • Creating Reactive Applications in .NET

    In modern applications, data is being retrieved in asynchronous, real-time streams, as traditional pull requests where the clients asks for data from the server are becoming a thing of the past.

  • AI for GitHub Collaboration? Maybe Not So Much

    No doubt GitHub Copilot has been a boon for developers, but AI might not be the best tool for collaboration, according to developers weighing in on a recent social media post from the GitHub team.

  • Visual Studio 2022 Getting VS Code 'Command Palette' Equivalent

    As any Visual Studio Code user knows, the editor's command palette is a powerful tool for getting things done quickly, without having to navigate through menus and dialogs. Now, we learn how an equivalent is coming for Microsoft's flagship Visual Studio IDE, invoked by the same familiar Ctrl+Shift+P keyboard shortcut.

  • .NET 9 Preview 3: 'I've Been Waiting 9 Years for This API!'

    Microsoft's third preview of .NET 9 sees a lot of minor tweaks and fixes with no earth-shaking new functionality, but little things can be important to individual developers.

  • Data Anomaly Detection Using a Neural Autoencoder with C#

    Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items.

Subscribe on YouTube