Good morning! We're looking for best practices to handle data quality issues within Kedro. Specifically:

1. We need to implement both manual and automated data curation
2. Ideally want to keep as much as possible within the Kedro pipeline structure
3. The current challenge is how to apply and track incoming data corrections requests

Has anyone implemented something similar? Looking for patterns/approaches that worked well.

Good morning, we have a question about Kedro dataset factories, we'd be hoping you'd be able to help. I will put the details in the thread to keep this channel tidy 🙂