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ASP.NET Dynamic Data is a Ruby on Rails-inspired web application scaffolding framework from Microsoft, shipped as an extension to ASP.NET, that can be used to build data-driven web applications. It exposes tables in a database by encoding it in the URI of the ASP.NET web service, and the data in the table is automatically rendered to HTML .
Razor is an ASP.NET programming syntax used to create dynamic web pages with the C# or VB.NET programming languages. Razor was in development in June 2010 [4] and was released for Microsoft Visual Studio 2010 in January 2011. [5] Razor is a simple-syntax view engine and was released as part of MVC 3 and the WebMatrix tool set. [5]
Active Server Pages (ASP) is Microsoft's first server-side scripting language and engine for dynamic web pages. It was first released in December 1996, before being superseded in January 2002 by ASP.NET .
ASP.NET is a server-side web-application framework designed for web development to produce dynamic web pages.It was developed by Microsoft to allow programmers to build dynamic web sites, applications and services.
ASP.NET 4.5 support: With IIS 8.0, ASP.NET 4.5 is included by default, and IIS also offers several configuration options for running it side by side with ASP.NET 3.5. [24] Centralized SSL certificate support: a feature that makes managing certificates easier by allowing the administrator to store and access the certificates on a file share. [25]
A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is designed to capture more of the meaning of an application environment than is possible with contemporary database models.
Server Side Includes (SSI) is a simple interpreted server-side scripting language used almost exclusively for the World Wide Web.It is most useful for including the contents of one or more files into a web page on a web server (see below), using its #include directive.
The data sets constitute a "database", though they are not typically managed with a standard relational database management system. The computer programs that analyze the data are primarily developed to answer hypotheses, not to put information back into the database and therefore the overall program would not be called a "database application".