Improve Development of Data-Centric Apps -- Visual Studio Magazine

Improve Development of Data-Centric Apps

Use Visual Studio 2005 Team Edition for Database Professionals to extend your team''s functionality and improve collaboration.

By Cameron Skinner
06/01/2006

Listen to the audio and watch the slides! (Running time: 57 minutes)

Following a public announcement and Community Technical Preview (CTP) release, the fourth edition of the Visual Studio 2005 Team Suite has made its market debut in an attempt to bridge the gap between the classic Software Development Life Cycle (SDLC) and the Data Development Life Cycle (DDLC). Visual Studio 2005 Team Edition for Database Professionals (aka "Data Dude") promises to improve how you develop data-centric applications, manage changes to your database schema, and evolve your database and its apps. Get an overview of this new product; see practical demonstrations; and listen to experts discuss how you can use Visual Studio 2005 Team Edition for Database Professionals to extend your team's functionality and increase collaboration.

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.