Practical DMX Queries for Microsoft SQL Server Analysis Services 2008

by Art Tennick

Overview

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

Product Details

ISBN-13:	9780071748674
Publisher:	McGraw Hill LLC
Publication date:	09/22/2010
Sold by:	Barnes & Noble
Format:	eBook
Pages:	304
File size:	13 MB
Note:	This product may take a few minutes to download.

About the Author

Art Tennick has worked in relational database design and SQL queries for more than 20 years and multidimensional database design, cubes, and DMX and MDX queries for 10 years. He has worked with several major corporations to implement BI solutions using Microsoft SQL Server, SSAS, SSIS, SSRS, and Excel 2010. Art is the author of several books and hundreds of articles for computer magazines in the U.S., UK, and Ireland. His web site is www.MrCube.net.

Table of Contents

Chapter 1. Cases Queries; Chapter 2. Content Queries; Chapter 3. Prediction Queries with Decision Trees; Chapter 4. Prediction Queries with Time Series; Chapter 5. Prediction and Cluster Queries with Clustering; Chapter 6. Prediction Queries with Association and Sequence Clustering; Chapter 7. DDL (data definition language) Queries; Chapter 8. Schema and Column Queries; Chapter 9. After You Finish