Hello everyone! Quick question, what is the correct way of defining an optional input in the Kedro pipeline? is it possible? The function takes some df's inputs as optional but I would also want to have that feature in the pipeline to not edit it everytime one input is not available. Thanks!

It's possible with custom dataset

Great recommendations @marrrcin, Finally the workaround I used was that the node function had the inputs as Optional and then I passed a dict on the input parameters to map each input with their respective catalog and name on the function and worked perfectly. Thanks!