Hi team,I am trying to ingest the multiple records to AEP using HTTP API end point but it get's failed could you please help me out here.Referring below document for reference,https://experienceleague.adobe.com/docs/experience-platform/ingestion/tutorials/streaming-multiple-messages.html?lang=en Cur...

Yes I already tried but it doesn't work might be I doing something wrong previously but after I checking again it will work..Thank You! 

Thanks I agree but in case we have these records in once specific attribute then how can we use above function.like in below one CSV file G_Id            D_Datetime  5478        Sep 25 2013 3:06pm7896         Aug 25 2022 5:05pm how can we ingest above D_datetime value in AEP...As per my knowledge AE...

Sorry I miss to add it's "Sep 25 2023 3:06pm"

Hi team,Their is any function to convert mentioned datetime value e.g. Sep 25 2023 3:06pm into AEP recommended datetime format like YYYY-MM-DDThh:MM:ss+00:00.

Thanks Arpan,We are used similar way one more data prep function and now issue get fixed thanks...to_array(true,split(attribute_Name,"|")

Hi Verticurl,It's CSV file format data.We are already across on this document also we are able to see data during the data preparation but still data is not yet ingested as we expected.  

Hi team,Please help me to ingest below data in data lake through file upload methodSample file in below records:PNameBirthdateJery|doll2023-03-10T18:56:41+00:00|2023-08-10T18:56:41+00:00Tom|Marry2023-05-10T18:56:41+00:00|2023-08-10T18:56:41+00:00on below schema for reference schema structure for ref...

Hi nnakirikanti,Please find the answers here as you requested.1. We use snowflake source connector for batch ingestion.2. For incremental data we use timestamp column.3. We are doing the data preparation during the mapping for '_id' field and map with uuid() function.

Hi arpang16406580,We are using the 'timestamp' field for the incremental load, but if we checking todays new records as per timestamp at source end it's minimum count but in AEP as we schedule the incremental load every time FULL LOAD is happening.Might be the possibility apart from the timestamp fi...