title: Data Mining Extensions
text: # Data Mining Extensions
  
  Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product.
  
  Like SQL, it supports a data definition language, data manipulation language and a data query language, all three with SQL-like syntax. Whereas SQL statements operate on relational tables, DMX statements operate on data mining models. Similarly, SQL Server supports the MDX language for OLAP databases. DMX is used to create and train data mining models, and to browse, manage, and predict against them. DMX is composed of data definition language (DDL) statements, data manipulation language (DML) statements, and functions and operators.
  
  ## Queries
  
  DMX Queries are formulated using the SELECT statement. They can extract information from existing data mining models in various ways.
  
  ## Data definition language
  
  The data definition language (DDL) part of DMX can be used to
  
  * Create new data mining models and mining structures - CREATE MINING STRUCTURE, CREATE MINING MODEL
  * Delete existing data mining models and mining structures - DROP MINING STRUCTURE, DROP MINING MODEL
  * Export and import mining structures - EXPORT, IMPORT
  * Copy data from one mining model to another - SELECT INTO
  
  ## Data manipulation language
  
  The data manipulation language (DML) part of DMX can be used to
  
  * Train mining models - INSERT INTO
  * Browse data in mining models - SELECT FROM
  * Make predictions using mining model - SELECT ... FROM PREDICTION JOIN
  
  ## Example: a prediction query
  
  This example is a singleton prediction query, which predicts for the given customer whether she will be interested in home loan products.
  
  