Per my understanding, Segmentation works on Unified Profile datalake and NOT on the main AEP datalake where we have all the historical records.In that case, all the de-duplication should have already been taken care by Identity service when it is doing all the merging of different/duplicate profile ...
We have data from different internal data sources which are sensitive and in plain text (not hashed). Requirement is to enforce data hashing for all destinations when exporting data.I know we can enforce policies to restrict data exports based on marketing actions assigned to Destinations. Also, we ...
Maybe last question on this thread, suppose if I have email as Primary Identity, these these two records (shown below) will not get collapsed/merged to the same CDP. Assuming, both the records meet the segment qualification criteria, implies that both the records will qualify approx 24 hours (worst ...
Yes, few are on different identities like email, CustomerID, phone etc coming from different systems. How should I tackle this scenario? I believe, I need to set secondary identities accordingly so that they get merged in Unified profile datalake before Segmentation picks up that data. Thoughts?
Yes, I understand that as I highlighted in my original question above related to - "streaming segment based on batch data but it will not act as streaming". Thanks for the doc shared above.Cheers!
I hope there is no restrictions for Batch and Stream evaluation as for Edge (URL shared above). In other words, I can apply either Batch or Stream irrespective of nature of data and its source from where it is coming.
Additionally, what happens when I already have more than 2 Records for a customer and all of the records gets qualified for a Segment (assume Batch Evaluation and more than 5 records for the user from different data sources) used for Destination export. Now, all the records will be qualified for the...
I assume there is NO restriction on Segment Evaluation method depending on nature of data whether it is sourced from Batch Vs Streaming Sources. Once the data is ingested into AEP datalake, it does not matter from where the data came and all evaluation methods viz. Batch, Streaming or Edge can be ap...