Trifacta® Wrangler Enterprise supports the following data types.
Tip: Transforms that include functions work only if the inputs are of a data type and format valid for the function. You should clean up the type and format of your columns before you apply transformations to them.
For more information on how to explicitly reference these data types in your steps, see Valid Data Type Strings.
If you have created a custom type, it is available for selection from the column type drop-down.
NOTE: After a custom type has been created, a platform restart is required. Please contact your Trifacta administrator.
- A custom type can be created based on a dictionary file. If a value is contained in the type's dictionary, the value is considered valid. See Create Custom Data Types.
- Developers may also define custom data types using regular expressions. See Create Custom Data Types Using RegEx.
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