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.
Hi @Jacques Vergine, can you please provide some more details regarding the challenge you mentioned and concrete examples explaining the difficulties?
Thank you for answering quickly! I will get clarity on this with the users and get back to you next week with precise information and concrete examples.
