SQL Server 2000 databases seem to move more often than their DBAs would like. However, moving the logins and users can prove to be a bit more of a challenge than just moving the databases. New author Corey Bunch brings us his technique for making this easier.
It's been five years since Microsoft released a new DBMS, but both experts and users agree that this one was worth the wait. SQL Server 2005's enhancements and new features have made the system a much more attractive attractive option to both large and small shops. Nonetheless, upgrading to SQL Server 2005 is a serious undertaking, requiring extensive training, planning and testing. In this Learning Guide, you will find news, technical tips and expert advice to help address your questions and concerns regarding SQL Server 2005 and put you on the road to a successful upgrade.
Most time we probably think that lots of our code is confusing, but when working with data values that need or contain quotes, it can get especially confusing. Sean McCown looks at a method for making this code easier to read.
The dynamic management views (DMVs) in SQL Server 2005 are designed to give you a window into what's going on inside SQL Server. They can provide information on what's currently happening inside the server as well as the objects it's storing. They are designed to be used instead of system tables and the various functions provided in SQL Server 2000. This article provides an introduction to DMVs and covers a few of the basic views and functions.
Everyone seems to focus on the large scale, enterprise level installations of SQL Server with not a lot of information on the little guy. To that end, new author Tim Mitchell brings us a great overview on what you should consider when setting up a SQL Server environment for a small scale setting.
Data, information, and knowledge. They're all different concepts and we sometimes lose sight of the fact that there are differences. This is a good look at the difference.
In this article, we will begin an extended examination of the MDX surrounding drilling up and down within our Analysis Services cubes. Comprising an analytical technique by which an information consumer can maneuver between summarized ("drilling up") and detailed ("drilling down") levels of data, drilling up or down occurs along the lines of drilling paths that are defined within the physical structures of our cubes. Often specified by the cube's dimensional hierarchies, these paths can also be based upon alternative relationships that exist within or between dimensions.
SQL Server Integration Services is one of the most highly anticipated subsystems of SQL Server 2005 and Kirk Haselden is the guy that got it done. Steve Jones caught up with Kirk at PASS and he agreed to an interview and here it is.
Simple Talk's newest commentator, Phil Factor, reveals the dark side of hiring database specialists: "Soon after he had been shown his desk in our crowded, open-plan IT office, he began laughing out loud, sporadically and inappropriately, while reviewing code. It wasn't my code, so I didn't mind."
Sometimes coincidences happen that make you sit back and say Hmm. Couple of days back Ovidiu, one of our senior developers, came by and asked me to blog about the Pivot transform. Then earlier today someone doing a high end POC down south need the same information.
By Steve Jones
I’m not sure I knew identity column values could not be updated. I ran...
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
I have mentioned this several times over several years. Can someone please help me...
SELECT COUNT(DISTINCT Component) AS Found FROM tblComponents WHERE(Component NOT LIKE '%[a-z]%') AND(LTRIM(RTRIM(Component)) = 'GM13622')...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers