Logo

.NET Technology Guide for Business Applications

Small book cover: .NET Technology Guide for Business Applications

.NET Technology Guide for Business Applications

Publisher: Microsoft Corporation
Number of pages: 70

Description:
A comprehensive guide to .NET development technologies and application patterns. It details the available technologies for evolving and modernizing business applications that are core to the business and based on established patterns, as well as the newest technologies available for .NET to extend these core applications into emerging patterns for devices and services.

Home page url

Download or read it online for free here:
Download link
(5.8MB, PDF)

Similar books

Book cover: F Sharp ProgrammingF Sharp Programming
- Wikibooks
F# is a .NET implementation of OCaml, a well-known functional programming language. Some of F#'s notable features include type inference, pattern matching, interactive scripting and debugging, higher order functions, and more.
(3919 views)
Book cover: Under the Hood of .NET Memory ManagementUnder the Hood of .NET Memory Management
by - Red gate books
To write truly fantastic software, you need to understand how .NET memory management works. This book will take you from the basics of memory management, all the way to how the OS handles its resources, and will help you write the best code you can.
(4240 views)
Book cover: Team Development with Visual Studio Team Foundation ServerTeam Development with Visual Studio Team Foundation Server
- Microsoft Press
This guide shows you how to get the most out of Visual Studio 2005 Team Foundation Server to help improve the effectiveness of your team-based software development. You'll find guidance and insights you can tailor for your specific scenarios.
(5849 views)
Book cover: Parallel Programming with Microsoft .NETParallel Programming with Microsoft .NET
by - Microsoft Press
A book that introduces .NET programmers to patterns for including parallelism in their applications. Examples of these patterns are parallel loops, parallel tasks and data aggregation with map-reduce. Each pattern has its own chapter.
(7078 views)