Scale-Out Querying with Analysis Services

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SQL Server Best Practices Article

Published: June 13, 2007
Writers: Denny Lee, Nicholas Dritsas
Contributors: Lubor Kollar, Lindsey Allen

This white paper describes how to set up a load-balanced scalable querying environment for Microsoft SQL Server 2005 Analysis Services so that you can handle a large number of concurrent queries to your Analysis Services servers. Load-balanced querying ensures that readers of OLAP cubes can consistently query for the latest aggregations throughout the day and distribute the load of all queries among the available servers. This scale-out querying architecture optimizes cube processing time, increases the frequency of cube update, and makes processing more robust as you can afford more frequent processing and transparent error recovery.

Figure 1   Analysis Services scale-out querying architecture

For more information, please refer to the Scale-Out Querying with Analysis Services whitepaper.

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