The regular expression transformation exposes the power of regular expression matching within the pipeline. One or more columns can be selected, and for each column an individual expression can be applied. The way multiple columns are handled can be set on the options page.
The idea of a data hub in your company is interesting to Steve Jones. He talks about this concept, and how it might help you increase data quality, and perhaps get closed to a single view of the truth.
In the SQL Server 2012 execution plan we can see better the true thread reservations for a query and not just information on the maximum degree of parallelism and row distribution across parallel threads; thanks to the new parallel thread usage information.
SQL Server 2008 introduced a new feature, Management Data Warehouse (MDW), which allows users to collect metrics on their servers over time to aid in performance troubleshooting. A lot of people try this feature out, because it is easy to set up, and then find that it is not so easy to remove. In fact, removing MDW is not supported; in SQL Server 2012, though, a new system stored procedure was added to make this process easier. The problem is that this stored procedure (as well as several of the workarounds I've seen published) can leave several objects behind.
Consultants sometimes don't live up to their hype. To what extent should we expect them to know exactly what they're doing? This editorial was originally published on Nov 9, 2007. It is being republished as Steve is on vacation.
A free day of training in Cleveland, OH. Come see MVPs Allen White and others talking about all aspects of SQL Server. For free.
In order to be able to take data from a variety of sources, manipulate it, and then export it to one of several destinations, SSIS has to use its own data types. If you hit problems, then you may need to intervene to ensure an appropriate conversion.
This article provides a simple solution to display any data by fiscal year instead of calendar year.
Today's editorial was originally published on Feb 7, 2008. It is being re-published as Steve is on vacation.
What do you do when the interviewer is obviously wrong? Steve Jones offers a perspective.
One of the most obvious bottlenecks in the performance of tempdb is caused by PAGELATCH, in-memory latch contention on the allocation bitmap of each data file used. We can use one of the rules-of-thumb to choose what should be roughly the best number of files, but how then do you check to see whether you've got it right for your data and workload?
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What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
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