Best Practices / Performance Guide for SQL Server Analysis Services

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During the training session, One of my training participant has asked me an Question during a beak time that

"What are the Best Practices we have SQL Server Analysis Services to get optimized Performance ?"

Here is a quick handy Performance Guide for SQL Server Analysis Services, this white paper organizes performance tuning techniques into the following three segments.

Enhancing Query Performance – Query performance directly impacts the quality of the end user experience. As such, it is the primary benchmark used to evaluate the success of an OLAP implementation. Analysis Services provides a variety of mechanisms to accelerate query performance, including aggregations, caching, and indexed data retrieval. In addition, you can improve query performance by optimizing the design of your dimension attributes, cubes, and MDX queries.

Enhancing Processing Performance – Processing is the operation that refreshes data in an Analysis Services database. The faster the processing performance, the sooner users can access refreshed data. Analysis Services provides a variety of mechanisms that you can use to influence processing performance, including efficient dimension design, effective aggregations, partitions, and an economical processing strategy (for example, incremental vs. full refresh vs. proactive caching).


Tuning server resources – There are several engine settings that can be tuned that affect both querying and processing performance. These are described in the section Tuning Server Resources.

Download your free copy of SQL Server Analysis Services 2008 Performance Guide.

EOF - Best Practices / Performance Guide for SQL Server Analysis Services, SQL Server 2012 , 2008 R2 , 2008 , 2005 , 2000

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