Practical DMX Queries for Microsoft SQL Server Analysis Services 2008

Extract real, actionable business intelligence using DMXPractical DMX Queries for SQL Server Analysis Servicesshows how to write DMX queries within Microsoft's BI stack. This solutions-based guide contains more than 240 DMX queries that can be immediately applied across a wide variety of BI-related problems. It begins with fundamental principles and simple queries and rapidly progresses to complex and sophisticated queries. The book is structured as follows: Query:Introduction and description of query and its use Syntax:Complete syntax Result:Screen shot showing the data returned from the Analysis Services data mining model by the query Analysis:Analysis of the results and tips for customization Specific emphasis is placed on writing DMX for use within Microsoft SQL Server Management Studio (SSMS) connected to Microsoft SQL Server Analysis Services (SSAS) however, the techniques and queries can also be utilized across Reporting Services (SSRS), Integration Services (SSIS), WinForms and WebForms, and in a large variety of third-party front-ends.Practical DMX Queries for SQL Server Analysis Services: Includes 240+ ready-to-use, easily customizable DMX queries, all available for download Features a practical, hands-on approach with a minimum of difficult concepts and theory Explains how to visualize actionable BI Shows how to surface knowledge discovery and make informed predictions quickly Helps to dramatically improve analysis and decision-making skillsComplete coverage of DMX queries 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; DDL (data definition language) Queries; Schema and Column Queries

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
Appendix A Graphical Content Queries
Appendix B Graphical Prediction Queries
Appendix C Graphical DDL Queries