T�tulo: Practical MDX Queries: For Microsoft SQL Server Analysis Services 2008
Editor: McGraw-Hill Companies
Fecha de publicaci�n: 2010
Idioma: Ingl�s
ISBN 10: 0071713360
ISBN 13: 9780071713368
Encuadernaci�n: Paperback
Estado: Good
Estado de la sobrecubierta: No Jacket

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Sinopsis

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.300+ ready-to-use, powerful MDX queries

This hands-on guide shows you how to use Multi-Dimensional Expressions (MDX) to extract business intelligence from multi-dimensional cubes. Practical MDX Queries contains more than 300 downloadable MDX queries that can be applied across a wide variety of business intelligence-related problems. The use, syntax, and results of each query are described in detail. The book emphasizes MDX for use with SSAS within SSMS, but the techniques and queries also apply to SSRS, SSIS, MDX in SQL, MDX in DMX, MDX in XMLA, WinForms, WebForms, PerformancePoint Server, ProClarity, and many third-party applications.

Work with dimensions, hierarchies, levels, and members
Navigate both horizontally and vertically across dimensions and hierarchies
Sort the results of your queries
Access subsets of dimension members and measure values using the Where clause and Filter function
Use MDX query calculations
Extract and manipulate dates and times
Produce totals, subtotals, and changes cross time using aggregate and other functions
Create, visualize, and manipulate sets
Work with perspectives, subselects, and subcubes
Display and hide empty cells
Use, modify, format, and create Key Performance Indicators (KPIs)
Deliver MDX query results to end users

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Art Tennick has worked in relational database design and SQL queries for over 20 years, and in MDX queries for 10 years. He has been involved in multi-dimensional database design, cubes, data mining, DMX, and MDX for 10 years. Recently, Art worked with several major retail and banking corporations to implement BI solutions using Microsoft SQL Server, SSAS, SSIS, SSRS, and Excel 2007/2010. His website is www.MrCube.net.

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