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Data Mining Programming

Microsoft  SQL Server 2012 Analysis Services (SSAS) supports XML for Analysis (XMLA) as a protocol for communication with client applications. Additional commands are supported by Analysis Services that extend the XML for Analysis 1.1 specification.

You can create and modify data mining objects entirely in XMLA scripts, and run prediction queries against the models programmatically from your own applications.

If you find that the built-in tools and viewers in Analysis Services do not meet your requirements, you can extend the power of Analysis Services by coding your own extensions. In this approach, you have two options:

  • Because Analysis Services uses XMLA for data definition, data manipulation, and data control support, you can create mining structures and mining models by using the visual tools provided by SQL Server Data Tools (SSDT), and then extend the data mining objects that you have created by using Data Mining Extensions (DMX) and Analysis Services Scripting Language (ASSL) scripts.

  • Analysis Services also provides a complete framework that enables third-party data mining providers to integrate the data mining objects into Analysis Services.

OLE DB for Data Mining

Describes additions to the specification to support data mining and multidimensional data: new schema rowsets and columns, Data Mining Extensions (DMX) language for creating and managing mining structures.

Developing with ADOMD.NET

Introduces ADOMD.NET client and server programming objects.

Developing with Analysis Management Objects (AMO)

Introduces the AMO programming library.

Developing with Analysis Services Scripting Language (ASSL)

Introduces XML for Analysis (XMLA) and its extensions.

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