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?

SQLServerCentral Editorial

The DBA Database

One very handy item Steve Jones found as a DBA was a DBA only database on each instance. Today he asks you if you have one and if not, why not. There are good reasons to have one, and security is usually not a problem.

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No Defaults Passwords Ever

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Introduction of OPTIMIZE_FOR_SEQUENTIAL_KEY = ON

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Hi, We have low latency high volume system. I have a table having 3...

The Long Name

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Question of the Day

The Long Name

I run this code to create a table:Create table with unicode nameWhen I check the length, I get these results:Table with length of name shown as 132 charactersA table name is limited to 128 characters. How does this work?

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