Practical DMX queries for Microsoft SQL Server Analysis Services 2008 [

"250+ Ready-to-Use, Powerful DMX QueriesTransform 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 us...

Full description

Bibliographic Details
Main Author: Tennick, Art (Author)
Format: Book
Language:English
Published: New York : McGraw-Hill , 2010
Subjects:
Online Access:McGraw Hill

MARC

LEADER 00000cam a2200000 7i4500
001 0000087444
005 20150209.0
008 141112s2011 nyu eng
020 |a 0071748660 
020 |a 0071748679 (e-book) 
020 |a 9780071748667 
020 |a 9780071748674 (e-book) 
050 0 0 |a QA76.9.D343   |b T46 2011 
090 0 0 |a QA76.9.D343   |b T46 2011 
100 1 |a Tennick, Art ,   |e author 
245 1 0 |a Practical DMX queries for Microsoft SQL Server Analysis Services 2008 [  |h electronic resource]   |c Art Tennick 
246 3 0 |a Practical data mining extensions queries for Microsoft SQL Server Analysis Services 
246 3 0 |a Practical data mining extensions queries for SQL Server Analysis Services 
246 3 0 |a Practical DMX queries for SQL Server Analysis Services 2008 
260 |a New York :   |b McGraw-Hill ,   |c 2010 
300 |a 1 online resource (xxvi, 308 p.) :   |b ill 
500 |a Includes index 
505 0 |a 1. Cases queries -- 2. Content queries -- 3. Prediction queries with decision trees -- 4. Prediction queries with time series -- 5. Prediction and cluster queries with clustering -- 6. Prediction queries with association and sequence clustering -- 7. DDL (data definition language) queries -- 8. Schema and column queries -- 9. After you finish 
520 |a "250+ Ready-to-Use, Powerful DMX QueriesTransform 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"-- Provided by publisher 
520 |a "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"-- Provided by publisher 
650 0 |a Data mining 
650 0 |a Querying (Computer science) 
856 4 0 |3 McGraw Hill   |u http://mhebooklibrary.com/doi/pdf/10.1036/9780071748674 
999 |a 1000163095   |b Electronic Book   |c Electronic Resource   |e Gong Badak Campus