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PATINDEX Workbench

The PATINDEX function of SQL Server packs powerful magic, but it is easy to get it wrong. Phil Factor returns to the Workbench format to give a tutorial of examples, samples and cookbook ideas to demonstrate the ways that this underrated function can be of practical use. It is intended to be pasted into SSMS and used as a basis for experiment.

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Scaling Up Your Data Warehouse with SQL Server 2008 R2

SQL Server 2008 introduced many new functional and performance improvements for data warehousing, and SQL Server 2008 R2 includes all these and more. This paper discusses how to use SQL Server 2008 R2 to get great performance as your data warehouse scales up. We present lessons learned during extensive internal data warehouse testing on a 64-core HP Integrity Superdome during the development of the SQL Server 2008 release, and via production experience with large-scale SQL Server customers. Our testing indicates that many customers can expect their performance to nearly double on the same hardware they are currently using, merely by upgrading to SQL Server 2008 R2 from SQL Server 2005 or earlier, and compressing their fact tables. We cover techniques to improve manageability and performance at high-scale, encompassing data loading (extract, transform, load), query processing, partitioning, index maintenance, indexed view (aggregate) management, and backup and restore.

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Database Management for SharePoint 2010

With each revision, SharePoint becomes more a SQL Server Database application, with everything that implies for planning and deployment. There are advantages to this: SharePoint can make use of mirroring, data-compression and remote BLOB storage. It can employ advanced tools such as data file compression, and object-level restore. DBAs can employ familiar techniques to speed SharePoint applications. Bert explains the way that SharePoint and SQL Server interact.

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Question of the Day

Detecting Deadlocks Quickly

In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?

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