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Integrating SAS and Microsoft .NET for Data Analysis

机译:集成SAS和Microsoft .NET进行数据分析

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Both the Microsoft .NET framework and SAS technologies are powerful development platforms in their own domain. The .NET framework is Microsoft's strategic initiative for server and desktop development for the next decade and includes many technologies designed to facilitate rapid development of Internet and intranet applications. On the other hand, SAS is the industry leader providing enterprise software for data analytics, data mining and business intelligence. SAS software is currently used extensively at RTI International in survey research for statistical analysis, data integration and reporting. This paper will show how to leverage the strengths of each platform to create integrated solutions in both desktop and web-applications. We will discuss what the .NET and SAS Integration Object Model frameworks are and will then talk about how to combine SAS and .NET data together. Finally, we will provide an example of how .NET uses SAS output to find parameter estimates to a simple regression model and then discuss some possible uses for this approach.
机译:Microsoft .NET Framework和SAS Technologies都是自己域中强大的开发平台。 .NET Framework是Microsoft在未来十年内为Server和Desktop开发开发的Microsoft的战略计划,并包括许多技术,旨在促进互联网和内联网应用的快速发展。另一方面,SAS是为数据分析,数据挖掘和商业智能提供企业软件的行业领导者。 SAS软件目前在RTI International在调查研究中广泛使用,用于统计分析,数据集成和报告。本文将展示如何利用每个平台的优势来在桌面和Web应用中创建集成解决方案。我们将讨论.NET和SAS集成对象模型框架是什么,然后讨论如何将SAS和.NET数据组合在一起。最后,我们将提供.NET如何使用SAS输出来查找到简单回归模型的参数估计,然后讨论此方法的一些可能的用途。

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