VSLive! FL 2007: Create a Custom ASP.NET DataSource Control -- Visual Studio Magazine

VSLive! FL 2007: Create a Custom ASP.NET DataSource Control

Create your own fully functional ASP.NET DataSource control.

By Rockford Lhotka
05/01/2007

Watch the video of the session! (Running time: 59 minutes)

ASP.NET's new data binding functionality is very powerful. Unfortunately, its pre-built data source controls may not meet your needs. Learn how you can create a fully functional ASP.NET DataSource control, including complete support for both run-time and design-time behaviors.

About the Author

Rockford Lhotka is the author of several books, including the Expert VB and C# 2005 Business Objects books and related CSLA .NET framework. He is a Microsoft Regional Director, MVP and INETA speaker. Rockford is the Principal Technology Evangelist for Magenic, a Microsoft Gold Certified Partner.

Printable Format

comments powered by Disqus

Featured

Visual Studio Devs Demand Claude 3.5 Sonnet AI: 'Why Is VSC Always Preferred?'

The brand-new Visual Studio 2022 v17.12 lets devs specify the AI model they want to use with the baked-in GitHub Copilot, but some are clamoring for more options, such as the latest/greatest Claude 3.5 Sonnet model from Anthropic that is available in VS Code.
SQL Database in Microsoft Fabric in Preview for Faster AI Apps

Microsoft's early embrace of advanced AI in its dev tooling continues apace with the new public preview of SQL database in Microsoft Fabric, the company's analytics/data platform.
Microsoft Seeks to Sort & Simplify its Agentic AI Dev Story

The company will infuse multi-agent runtime tech developed in its AutoGen research project into its production-ready Semantic Kernel SDK, both open source.
Uno Platform Unveils 'Hot Design' Tool for Cross-Platform .NET Apps

Uno Platform provided a new take on visual designers for .NET app development, claiming a breakthrough that changes code at runtime rather than the design stage.
Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning regression techniques, k-NN regression is often slightly less accurate, but is very simple to implement and customize, and the results are highly interpretable.