SQL 数据分析和
                                                                                                                                                [size=28.000000pt]Data Mining Extensions (DMX)Reference
[size=18.000000pt]SQL Server 2012 Books Online
                               
                       
                                                                                                [size=12.000000pt]Summary[size=12.000000pt]: Data Mining Extensions (DMX) is a language that you can use to create andwork with data mining models in Microsoft SQL Server Analysis Services. You can useDMX to create the structure of new data mining models, to train these models, and tobrowse, manage, and predict against them. DMX is composed of data definitionlanguage (DDL) statements, data manipulation language (DML) statements, andfunctions and operators.
                                        [size=12.000000pt]Category: [size=12.000000pt]Reference
[size=12.000000pt]Applies to[size=12.000000pt]: SQL Server 2012
[size=12.000000pt]Source[size=12.000000pt]: SQL Server Books Online ([size=12.000000pt]link to source content[size=12.000000pt])[size=12.000000pt]E-book publication date[size=12.000000pt]: June 2012
                               
                       
               
                                                                                                                                               



                                                                                                                                                [size=26.000000pt]Data Quality Services
                                        [size=18.000000pt]SQL Server 2012 Books Online
                               
                       
                                                                                                [size=12.000000pt]Summary[size=12.000000pt]: SQL Server Data Quality Services (DQS) is a knowledge-driven data qualityproduct. DQS enables you to build a knowledge base and use it to perform a variety ofcritical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also providesyou with profiling that is integrated into its data-quality tasks, enabling you to analyzethe integrity of your data.
                                        [size=12.000000pt]Category: [size=12.000000pt]Reference
[size=12.000000pt]Applies to[size=12.000000pt]: SQL Server 2012

                               
                       
               
Source: SQL Server Books Online (link to source content)E-book publication date: June 2012[size=11.000000pt]