Hierarchies in SQL
One very common structure that needs to be handled in T-SQL is the hierarchy. One of our prominent members of the community discusses how you can handle hierarchies in SQL Server.
One very common structure that needs to be handled in T-SQL is the hierarchy. One of our prominent members of the community discusses how you can handle hierarchies in SQL Server.
Three contests from Red Gate Software are coming next week. Get a hint about what might be coming and set a reminder on your calendar.
One piece of advice that is often given to new SQL Server administrators is not to shrink their databases. But they seem to do it often enough anyway. For this Friday's poll, Steve Jones asks if we should do away with shrink.
Cross-posted from a Goal Keeping DBA blog:
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Data warehousing and general reporting applications tend to be CPU intensive because they need to read and process a large number of rows. To facilitate quick data processing for queries that touch a large amount of data, Microsoft SQL Server exploits the power of multiple logical processors to provide parallel query processing operations such as parallel scans. Through extensive testing, we have learned that, for most large queries that are executed in a parallel fashion, SQL Server can deliver linear or nearly linear response time speedup as the number of logical processors increases. However, some queries in high parallelism scenarios perform suboptimally. There are also some parallelism issues that can occur in a multi-user parallel query workload. This white paper describes parallel performance problems you might encounter when you run such queries and workloads, and it explains why these issues occur. In addition, it presents how data warehouse developers can detect these issues, and how they can work around them or mitigate them.
Microsoft is working to certify vendors to build private clouds, which Steve Jones thinks is a great idea.
A look at what's happening with the SQLServerCentral servers based on the public information exposed by SQL Monitor.
Normalization is standard practice in database design, however, an over-normalized database can have issues. This article examines the case for denormalization.
The call for speakers is open through December 15, 2010, and I hope many of you will take the chance...
A RAG pipeline that answers questions in the demo is not the same thing...
By Steve Jones
“A multitude of bad ideas is necessary for one good idea” – from Excellent...
Yesterday I gave a talk for MSSQLTips called “Building a DBA Agent for Your...
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What types of secondary replicas are available for the Azure SQL Database Hyperscale edition?
See possible answers