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Scale-Out Querying with Analysis Services

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.

Technical Article

Using SQL Server Table-Valued User-defined Functions with Exchange Web

The SQL Server Tables and Exchange Web Services sample demonstrates a powerful integration of Microsoft® Exchange Server 2007 and Microsoft SQL Server™ 2005 features. This integration enables you to provide data from both Microsoft Exchange and SQL Server to client applications so that the data appears as if it were stored in SQL Server. As you will see, this creates some exciting development scenarios.

External Article

Using OVER() with Aggregate Functions

One of new features in SQL 2005 that I haven't seen much talk about is that you can now add aggregate functions to any SELECT (even without a GROUP BY clause) by specifying an OVER() partition for each function. Unfortunately, it isn't especially powerful, and you can't do running totals with it, but it does help you make your code a little shorter and in many cases it might be just what you need.

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Question of the Day

How Long is a Long I/O?

In SQL Server 2025, a long I/O is recorded in the error log with message 833. How long much an I/O request be outstanding before this message is written to the log?

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