data-practitioner video for a data engineering team needs to implement a pattern for handling bad records in their streaming pipeline without failing the entire
A data engineering team needs to implement a pattern for handling bad records in their streaming pipeline without failing the entire job. Which approach in Dataflow would be most appropriate?