Rename Transform

The Rename transform changes one or more column names.

Basic Usage

To rename columns:

1. Select the Rename transform from the transform menu.
2. For each rename pair: a. Choose a field under Target Columns. b. Enter its new name under Rename Column.
3. Apply the transformation.

Configuration Options

Basic Options

• Target Columns: Choose a column to rename.
• Rename Column: Enter its new name.

note

Add another Target Columns and Rename Column pair for each additional field.

caution

The workflow UI does not accept periods (.) in new names. The backend changes periods to spaces only in legacy configurations, API-created nodes, and direct backend calls. Names entered in the UI cannot use this fallback.

Examples

Example: Standardizing Column Names

Input Dataset:

first_name	last_name	DOB	phone_num
John	Doe	1990-01-01	1234567890
Jane	Smith	1985-05-15	9876543210

Configuration:

• Select Column: first_name, Rename Column: FirstName
• Select Column: last_name, Rename Column: LastName
• Select Column: DOB, Rename Column: DateOfBirth
• Select Column: phone_num, Rename Column: PhoneNumber

Result:

FirstName	LastName	DateOfBirth	PhoneNumber
John	Doe	1990-01-01	1234567890
Jane	Smith	1985-05-15	9876543210

tip

Use one naming convention throughout the dataset, such as snake_case or PascalCase.

Best Practices

1. Choose short names that describe the field clearly.
2. Use one naming convention and avoid special characters.
3. Check downstream nodes, code, and reports for references to the old name.
4. Document renames when the workflow is shared or audited.

Troubleshooting

• The preview still shows the old name: Refresh the data view.
• The wrong field was renamed: Check Select Column.
• The rename fails: Make sure the new name is unique. Duplicate names are not accepted.