Books: Integrate Large-Scale Apps Successfully -- Visual Studio Magazine

Books: Integrate Large-Scale Apps Successfully

Enterprise Application Integration Using .NET shows you how to overcome the issues and obstacles involved in integrating enterprise-scale applications successfully.

By David Mack
04/01/2005

Many developers undoubtedly wish they'd read Enterprise Application Integration Using .NET before they tackled that huge software project. This book shows you how to overcome the issues and obstacles involved in integrating enterprise-scale applications successfully.

Every system integrator should read at least the first part of this book, which talks about the human side of software integration. It includes sections on getting management's buy-in, preventing trouble, and requirements analysis. This portion of the book might be small, but you'd be wise not to skip it. It contains information you'd want your management to read before you start a project.

The second half of the book describes the process of integration with a .NET focus. The author, Butch Clark, bases all his examples on a fictitious company to drive home points. The examples are in C# and easy to follow. He assumes a certain amount of knowledge of Visual Studio .NET and C#.

Enterprise Application Integration Using .NET is a must-read if your company is planning on doing a large-scale integration. From personal experience, I have found a lot of what the author says to be extremely accurate, especially on the management side of integrating applications. I definitely recommend that you have this book on the community bookshelf in your office.

Enterprise Application Integration Using .NET
by Butch Clark
Addison-Wesley
ISBN: 0321202953
Price: $49.99
Quick Facts: Shows you how to make enterprise applications work well together.
Pros: Discusses the management side of integration as well as the technical side.
Cons: None.

About the Author
David Mack is a technical lead and consultant for the National Intelligence Division at Titan Systems. He has more than 10 years of experience in management and software engineering. Reach him at [email protected].

About the Author

David Mack is a technical lead and consultant for the National Intelligence Division at Titan Systems. He has more than 10 years of experience in management and software engineering. Reach him at [email protected].

Printable Format

comments powered by Disqus

Featured

VS Code v1.99 Is All About Copilot Chat AI, Including Agent Mode

Agent Mode provides an autonomous editing experience where Copilot plans and executes tasks to fulfill requests. It determines relevant files, applies code changes, suggests terminal commands, and iterates to resolve issues, all while keeping users in control to review and confirm actions.
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.