String transformation steps are used to clean, format, and manipulate text fields. You can trim whitespace, convert case, search and replace substrings, extract portions of text, and normalize strings to meet formatting or validation requirements.
| Transform | Description |
|---|---|
| Cleanse Data | The Cleanse Data step enables you to apply multiple string-cleansing operations within a single transformation step in your Data Quality pipeline. This consolidated approach allows you to efficiently clean, standardize, and prepare string fields for downstream processes. |