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Many-to-many dimension relationships in SQL Server 2005 Analysis Services (SSAS) enable you to easily model complex source schemas and provide great analytical capabilities. This capability frequently comes with a substantial cost in query performance
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For those of you whom want to know a little more about precision considerations for Analysis Services users, please check out this recently released whitepaper at http://www.microsoft.com/downloads/details.aspx?familyid=bae8beec-9892-4ecd-a9db-292254895f9c&displaylang=en
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Scale-Out Querying with Analysis Services Using SAN Snapshots
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Identifying and Resolving MDX Query Performance Bottlenecks in SQL Server 2005 Analysis Services There are a variety of things that you can do to improve the performance of an individual MDX query. To begin, you must identify the source(s) of the performance
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Author: Denny Lee Contributors: John Desch, Kevin Cox Reviewers: Robert Zare DRILLTHROUGH MDX Overview DRILLTHROUGH MDX is a very powerful way to drillthrough to your original data source of detail data that make up the aggregations that you are looking
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Goal This document describes how to build Create Cache commands. Create Cache for Analysis Services (AS) was introduced in SP2 of SQL Server 2005. It can be used to make one or more queries run faster by populating the OLAP storage engine cache first.
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Summary: SSAS uses partitions to contain cube data. Small cubes might use only one, but for non trivial cubes, cube designers will create partitions based on ease of managing data and to split groups of data. This document discusses how the server uses
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Overview SQL Server’s 2005 Analysis Services has introduced several changes to the MDX queries syntax that can lead to better performance than the equivalent AS 2000 queries. Here is a list of tips and tricks as well as best practices on how to get better
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