Practical DMX queries for Microsoft SQL Server Analysis Services 2008 / Art Tennick.

Format:

Book

Author/Creator:

Tennick, Art, author.

Language:

English

Subjects (All):

SQL server.

Data mining.

Querying (Computer science).

Physical Description:

308 p.

Edition:

1st edition

Other Title:

Practical data mining extensions for SQL server analysis services

Place of Publication:

New York : McGraw-Hill, [2010]

Language Note:

English

System Details:

text file

Summary:

250+ Ready-to-Use, Powerful DMX Queries Transform data mining model information into actionable business intelligence using the Data Mining Extensions (DMX) language. Practical DMX Queries for Microsoft SQL Server Analysis Services 2008 contains more than 250 downloadable DMX queries you can use to extract and visualize data. The application, syntax, and results of each query are described in detail. The book emphasizes DMX for use in SSMS against SSAS, but the queries also apply to SSRS, SSIS, DMX in SQL, WinForms, WebForms, and many other applications. Techniques for generating DMX syntax from graphical tools are also demonstrated in this valuable resource. View cases within data mining structures and models using DMX Case queries Examine the content of a data mining model with DMX Content queries Perform DMX Prediction queries based on the Decision Trees algorithm and the Time Series algorithm Run Prediction and Cluster queries based on the Clustering algorithm Execute Prediction queries with Association and Sequence Clustering algorithms Use DMX DDL queries to create, alter, drop, back up, and restore data mining objects Display various parameters for each algorithm with Schema queries Examine the values of discrete, discretized, and continuous structure columns using Column queries Use graphical interfaces to generate Prediction, Content, Cluster, and DDL queries Deliver DMX query results to end users Download the source code from www.mhprofessional.com/computingdownload

Contents:

Cases queries

Content queries

Prediction queries with decision trees

Prediction queries with time series

Prediction and cluster queries with clustering

Prediction queries with association and sequence clustering

Data definition language (DDL) queries

Schema and column queries

After you finish.

Notes:

Includes index.

Description based on print version record.

ISBN:

9780071748674

0071748679

OCLC:

757519352