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The database system in a company that is growing internationally must support multilingual characters in tables with Unicode data types. Existing d atabases that support only non-Unicode information must be migrate d from non-Unicode data type to Unicode
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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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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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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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http://www.microsoft.com/technet/prodtechnol/sql/bestpractice/default.mspx Get the real-world guidelines, expert tips, and rock-solid guidance to take your SQL Server implementation to the next level. Drawing on the extensive experience and expertise
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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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SQLCAT Blog: Managing Schema Changes (Part 2) Question: What are best practices for managing schema changes in SQL Server 2005? What are the fastest, least intrusive techniques for high availability? Answer: In Part 1, we outlined the behavior of SQL
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Question: What are best practices for managing schema changes in SQL Server 2005? What are the fastest, least intrusive techniques for high availability? Answer: A common requirement as business requirements evolve over time is managing schema changes.
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I have shown how you can find out if SQL Server eliminates partitions in your queries. Most of the time SQL Server is doing great job in partition elimination and it is scanning or seeking only partitions that could potentially yield rows satisfying the WHERE, IN or other row eliminating clauses. In spite of that you should still check the query plans of your queries against partitioned tables if you suspect the performance may be or is an issue. You should be aware that SQL Server is employing both the static partition elimination when the query is optimized and dynamic partition elimination when the choice of scanned and skipped partitions is made at the query execution time.
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In workloads that involve expensive long-running queries and reports, or complex batch operations, you frequently want to see the SQL statements and associated query plans that are active on the system or that consume the most resources. SQL Server 2005
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