Transformations

Easily edit your transformations in case of errors or improvements.

​

Overview

The feature allows you to:

• Modify an existing transformation: Use the interface to select a transformation and edit its details or even its script.

To get started, go to Transformations and follow this guide.

​

How to edit your transformation

​

Select the transformation you want to modify

In the transformation page, you’ll find a list of all of your transformations. For each one, you’ll have three dots in the right end that give you the editing options.

​

Edit details

With this option, you can edit the description of your transformation. The clearer it is, the better for you and your team!

​

Edit transformation

This option allows you to modify more aspects of your transformation. It will open a flow that is super similar to the Add Transformations one, so you can:

Select new/less input tables: add new or remove input tables as you need. If you remove some through our selector, make sure to delete it on the code too.

Change output table name: feel free to edit the name of your new table.

Modify transformation script:modify your ‘user_transformation()’ function to generate a different final dataframe or to correct something in your previous code.

Edit dependencies: add new, edit or remove custom dependencies your transformation script might need.

Click Next to move on and you can decide to change or not the description of that transformation, the same as ‘Edit details’ allows you to do.

We are not allowing changes on the pipeline trigger through the platform for now. If you want to change this aspect, please let us know on our Slack channel and we’ll be happy to quickly change it for you.

​

Check your updated transformation!

Click Nekt and hopefully everything will work out. You will be informed your transformation was successfully updated.

You can now monitor it on the Transformations page to see its execution and completion. As soon as the modified pipeline is executed, you’ll find your updated table on the Catalog section.

​

Support

If you encounter any issues or have questions about using the feature, please message us on Slack or support@nekt.ai.

We’re here to assist you in leveraging our data platform to its fullest potential.