Hello @DavidSlaw1    Apologize in the detail in my response I had provided you the incorrect information.   When ingesting Parquet files they must be XDM compliant.  There is no mapping step required if the data is in XDM compliant.     Apache Parquet: Parquet-formatted data files must be XDM-compli...

Hello @arpan-garg    Have you attempted to use in the mapping segmentMembership.seg_namespace.seg_id ?   Another option is within the file name of the file being written out to the SFTP location will be the segment_id.

Hello @DavidSlaw1    When you create your mapping of the file there is an option to be xdm compliant or not.  If the data is not xdm compliant then you should be able to create a mapping flow.

if the dataSet 65ddd012460c202ca00b7782 is not enabled for profile this would explain the dataflow error message. The error message does indicate it was enabled for profile at one point.    I would open a ticket with support as this dataSet is not part of the UPS and the export dataflow is expecting...

To export data you can use query service to write data upon a dataSet which then can be exported to a cloud based destination.   The query and export could be scheduled using query service scheduler and dataSet export dataflow.

@Michael_Soprano     DULE Labels traditionally have been applied at the dataSet level, please see below for reference.   https://developer.adobe.com/experience-platform-apis/references/dataset-service/      

The error message is interesting because the activation dataflow will look at UPS enabled dataSets.   Was dataSet 65ddd012460c202ca00b7782 enabled for profile initially and then removed from profile?

Is anyone aware of what the evaluation schedule of audience composition?  This appears to be a different schedule than the UPS batch_segmentation available in /core/ups/config/schedules. 

Can you please provide the details for dataSet 65ddd012460c202ca00b7782.   I am curious if this is the Profile Export or Snapshot dataSet in the Adobe RTCDP environment.

Using the data Prep functions of nullify, get_values, and equals could be uses to nullify a field, but the skipping of records is not really intended to be part to be of the S3 as a dataSource.   Can you remove/filter the records from the source which is producing the brand of XYZ records.     Curre...