> ## Documentation Index > Fetch the complete documentation index at: https://docs.maia.ai/llms.txt > Use this file to discover all available pages before exploring further. # Rename export const ComponentMetadata = ({warehouses, unsupportedWarehouses = [], componentType, connectionInputs, connectionOutputs}) => { const allWarehouses = [...warehouses.map(w => ({ name: w, supported: true })), ...unsupportedWarehouses.map(w => ({ name: w, supported: false }))]; return

Project Availability	{allWarehouses.map((w, i) => {w.name} {w.supported ? '✅' : '❌'} )}
Component Type	{componentType}
Connection Inputs	{connectionInputs}
Connection Outputs	{connectionOutputs}

; }; The **Rename** transformation component lets you change the names of one or more columns in your dataset. You can choose whether to include all input columns in your dataset, or only the columns that you rename. If you choose to include input columns without renaming them, their names stay the same. You can also use the **Rename** component to create copies of existing columns by adding them to the column mapping property twice and specifying different names for each new column. ### Use case This component can be used to make your data clearer and enforce consistent naming conventions. For example, you can use it to: * Rename unclear column names—for example, change alphanumeric product codes to human-friendly product names. * Standardize customer data from different sources—for example, rename the `cust_id` and `customerID` columns in different datasets to `Customer_ID`, so you can combine these datasets for further analysis. *** ## Properties A human-readable name for the component. {/* */} In each **Source column** drop-down, select a column in your dataset that you want to rename. Click the **+** icon to add another row, or before adding any rows, click **Add all** to add all input columns to the **Source column**. In the **Target column** fields, enter the new name for the selected columns. You can add source columns multiple times to create copies of the same column with different names. Each new name in the **Target column** must be unique. {/* */} If **Yes**, uniquely named input columns will be included in the output. Any renames that duplicate an existing input column will take priority. The default setting is **No**.