Question
Handling Incorrect Data in Profile‑Enabled Datasets Without Impacting Existing Profiles
We have an existing dataset that is enabled for customer profiles. Recently, some incorrect or undesirable data has been ingested into this dataset. I am looking for expert guidance on whether it is possible to remove or correct only the affected records without impacting the already established customer profiles or downstream profile calculations.
Specifically, I would like to understand the recommended approach or best practices for safely remediating bad data in a profile‑enabled dataset, while preserving profile integrity and minimizing any disruption to current profiles or dependent use cases.
- if we delete the that particular batch from dataset , does those are removed from profile store ?
- after correcting the data , if we re-ingest does the event data is overwritten with the latest data ,
Suggest me how can i resolve this