Articles

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.

2012-08-03

3,279 reads

Blogs

Claude AI Convinced Me Not to Build an iPad App

By

I coach volleyball and I do a lot of stat stuff on paper. I...

A New Word: Dolorblindness

By

dolorblindness – n. the frustration that you’ll never be able to understand another person’s...

Claude Code Helps Analyze Test Data Manager Log Files

By

I had a customer ask about analyzing their Test Data Manager (TDM) usage to...

Read the latest Blogs

Forums

Data Warehouse Toolkit meets Star Schema: The Complete Reference

By pietlinden

Is there a good syllabus for reading these two together? (Yes, it's called the...

GPX distance and time analysis in SQL Server

By Cláudio Tereso

Comments posted to this topic are about the item GPX distance and time analysis...

The DBA is Dead; Long Live the DBA

By Steve Jones - SSC Editor

Comments posted to this topic are about the item The DBA is Dead; Long...

Visit the forum

Question of the Day

Changing the AG Listener

In SQL Server 2025, if I want to remove an IP from a listener, what do I do?

See possible answers