Technical Article

RegexClean Transformation

Use the power of regular expressions to cleanse your data right there inside the Data Flow. This transformation includes a full user interface for simple configuration, as well as advanced features such as error output configuration. Two regular expressions are used, a match expression and a replace expression. The transformation is designed around the named capture groups or match groups, and even supports multiple expressions.

External Article

Issues Determining an Individual SQL Server User's Permissions

Recently I was supporting a third party application. It queries to determine what tables it has permissions to before it proceeds with the rest of its functionality. We had implemented permissions based on the best practice of creating roles, assigning the permissions to the roles, and then making the users members of the roles. The application was querying INFORMATION_SCHEMA.TABLE_PRIVILEGES and of course didn't find any permissions directly against the user in question. We ended up granting explicit permissions to the user so the application would work, but I'm more interested in the general case. How can I determine permissions for an individual user?

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Question of the Day

Distance Metric Algorithms

What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?

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