Audit data using SQL Server 2005's COLUMNS_UPDATED function
Auditing data changes in your production environment is very important, especially if you are dealing with confidential information.
Auditing data changes in your production environment is very important, especially if you are dealing with confidential information.
I'm designing a table and I've decided to create an auto-generated primary key value as opposed to creating my own scheme or using natural keys. I see that SQL Server offers globally unique identifiers (GUIDs) as well as identities to create these values. What are the pros and cons of these approaches?
Agile, or maybe even hyper-agile. Steve Jones talks about some challenges in the web 2.0 world.
When a project is completed, one of the next steps is to roll this project out to the production environment. However a good rollback process is important to ensure that you can remove those changes if there are problems. Longtime author David Poole talks about how he handles this.
Steve Jones talks about virtualization with databases, but not in the way you might think.
Steve Jones talks about virtualization with databases, but not in the way you might think.
Steve Jones talks about virtualization with databases, but not in the way you might think.
This article demonstrates the performance improvements that can be achieved using Filtered Indexes in SQL server 2008
We are required to report from our SQL Server 2005 database. There are five or six tables regularly used for holding the reporting data, but these tables have five-to-seven million rows of data in them already. We need to use these tables consistently and our performance involving reporting is struggling. Do you have any tips to help improve it?
Sometimes determining who owns the data or information isn't that easy. Steve Jones has an example from the US election in 2008.
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers