In-Depth

Smart Data Clients 2.0

Walt Ritscher takes you on a tour of the new drag-and-drop data-binding features in Visual Studio, the new and enhanced data controls, and the changes in SQLClient.

View the slides of the session!

Working with data is a necessity for every business application. ADO.NET 2.0 is chock full of improvements, and the Windows Forms team has been steadily improving the data-binding pieces. Walt Ritscher starts this data tour by looking at the new drag-and-drop data-binding features of Visual Studio. You'll see how easy it is to bind to databases, business objects, and Web services.

Next you'll look at the new, enhanced data controls (DataContainer, GridView, DataConnector, DataNavigator). You'll go through a detailed exploration of these new data controls including UI look and behavior, data-binding support, improved validation and formatting features, and better Null binding. Last on the agenda is a tour of the SQLClient changes—asynchronous data and data paging.

comments powered by Disqus

Featured

  • Windows Community Toolkit v8.2 Adds Native AOT Support

    Microsoft shipped Windows Community Toolkit v8.2, an incremental update to the open-source collection of helper functions and other resources designed to simplify the development of Windows applications. The main new feature is support for native ahead-of-time (AOT) compilation.

  • New 'Visual Studio Hub' 1-Stop-Shop for GitHub Copilot Resources, More

    Unsurprisingly, GitHub Copilot resources are front-and-center in Microsoft's new Visual Studio Hub, a one-stop-shop for all things concerning your favorite IDE.

  • Mastering Blazor Authentication and Authorization

    At the Visual Studio Live! @ Microsoft HQ developer conference set for August, Rockford Lhotka will explain the ins and outs of authentication across Blazor Server, WebAssembly, and .NET MAUI Hybrid apps, and show how to use identity and claims to customize application behavior through fine-grained authorization.

  • Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric value. A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used.

  • Low-Code Report Says AI Will Enhance, Not Replace DIY Dev Tools

    Along with replacing software developers and possibly killing humanity, advanced AI is seen by many as a death knell for the do-it-yourself, low-code/no-code tooling industry, but a new report belies that notion.

Most   Popular

Subscribe on YouTube