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Reintroducing Usage-Based Optimization in SQL Server 2008 Analysis Services
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From the early days of Microsoft® SQL Server® Analysis Services, one of the query performance optimization techniques was for developers to use the usage-based optimization feature. Developers would create their OLAP cube and cube partitions and then set the aggregations for the cube at a low percentage. It was common to see developers set the aggregations for their partitions at 0% - 5%. After the OLAP database was deployed to the production servers, there would be a beta test period for users to work with the cube and to store the components of the queries executed against the cube. Afterwards developers could build aggregations based on what users had queried, typically optimizing for the slowest queries. After this was done, these aggregations could significantly improve the performance of these initially slow queries. With the release of SQL Server 2008 Analysis Services, an improved usage-based optimization algorithm has been included that enhances Analysis Services’ ability to create better aggregations.

Desiging optimal Aggregations looks like a black magic, this article gives you good tips about to implement usage base optimizations