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query performance (RSS)
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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Default SSAS behavior can sometimes result in small queries being slowed down by concurrently running big queries. Recently in working with a customer, we observed the most common queries when run by themselves took about 1 second and some ad-hoc queries
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If a report does not use formatted cell values, query time can be reduced. An example is a Reporting Services report that does its own formatting and therefore would not use the formatted values from SSAS. By returning only the value of the cell and not
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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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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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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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