DataFlux Data Management Studio 2.5: User Guide
Regular expressions are powerful tools you can use to transform data. In the DataFlux Data Management Studio implementation, regular expressions are organized into libraries that you can use for parsing, standardization, and matching. To build and test these libraries, use the Customize Regex Library Editor. ("Regex" is short for "regular expression.")
In the context of parse definitions, standardization definitions, and match definitions, regular expressions are primarily intended for character-level cleansing and transformations. For word- and phrase-level transformations, you should instead use standardization data libraries.
Regular expressions you create in the Regex Library Editor must adhere to the syntax defined for Perl regular expressions. For information on writing Perl regular expressions, see Mastering Regular Expressions by Jeffrey E.F. Friedl or other readily available reference material on the subject.
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