Adobe Real-Time Customer Data Platform

segmentation job API, only returns the count of profile. how do i get the details of those profile, which got qualified after a particular segment job rans ? https://experienceleague.adobe.com/en/docs/experience-platform/segmentation/api/segment-jobs 1) when we execute the flexible audience which gets evaluated right away, but profile snapshot is only available next day. So without waiting for next day, how can we find list of profile that qualified under that audience ? 2) when we built streaming audience, without waiting for next day, how can we find list of profile that qualified under that audience ? 

Hi, If we receive ECID as one of the fields from the source data (CSV file from the cloud storage source), what is the best approach to include this ECID in the existing Experience Event schema?Should we add it as a string field in one of our existing custom field groups, since there is no option to include it under the identityMap?Note: We already have a primary identity (e.g., CRMID) in the Experience Event schema, and this schema is not enabled for Profile, as we are using it only in CJA and not in RTCDP. Therefore, we would like to add ECID and use it as a secondary identity to enhance graph-stitching capabilities.Please suggest the best way to add ECID in this scenario. Thanks!

How do i create AEP audience where customer is having attributeA=123 as well as attributeA=234. attributeA is string(NOT an array) as part of event attribute and customer can have multiple event having different attributeA values.

AEP audience based on Adobe Analytics clickstream data into AEP event-time series based schema. SKU can be part of any shopping cart events (prodView, OpenCart, cartView, CheckOut etc)How do we create a segment for customer having SKU=ABC as part of prodView in their latest event for that SKU ? Here are the sample example of customer events sorted in time ascending order:Customer 1Time1: SKU=ABC, ProdViewTime2:SKU=ABC, OpenCartTime3:SKU=XYZ, ProdViewTime4:SKU=DEF, ProdViewTime5:SKU=DEF, OpenCartTime6:SKU=ABC, ProdViewTime7:SKU=PQR, ProdViewTime8:SKU=PQR, cartViewTime9:SKU=PQR, CheckOut Customer 2Time1: SKU=ABC, ProdViewTime2:SKU=ABC, OpenCartTime3:SKU=XYZ, ProdViewTime4:SKU=DEF, ProdViewTime5:SKU=DEF, OpenCartTime6:SKU=ABC, ProdViewTime7:SKU=ABC, OpenCartTime8:SKU=XYZ, ProdViewTime9:SKU=PQR, cartViewTime10:SKU=PQR, CheckOut In the Above example, customer 1 should qualify as the latest status for SKU=ABS is prodView on time6.However customer 2 would dis-qualify as th

Hi all, I have an urgent request and would appreciate a quick response. We need to expire or delete old records from both individual profile and custom class datasets in AEP. The records should be removed from both the Profile Store and the Data Lake, and this process should be automated on a schedule - for example, deleting any records older than 30 days. How can this be done in AEP? My understanding is that the data retention policy only works for experience event datasets. Thanks

is there an API to query "select * from datasetName" or any other complex query to get the response of SQL result ?

Hi all, we would like to create a cart abandonment email that shall be triggered from RT-CDP to Campaign v8 if the user started the checkout (commerce.checkouts event) but did not purchase (commerce.purchases) within x minutes.  So far, the audience definition is straight forward and also shows profiles qualified for it.Now, we could like to send an email out to the cart abandoner. Since the audience contains Profile information but not Experience Event data from the checkout event, what is the best approach to get this crucial data over to v8? Also, the Campaign destinations all seem to work as batch exports with a minimum frequency of 3 hours. Is there any way to stream this information as soon as a Profile newly qualifies for the audience?

can data distiller delete a record form profile store event-time series dataset if we provide the 1000s of _id values as part of batch every day ?

Are there better/simplified explanation for these guard rails ? https://experienceleague.adobe.com/en/docs/experience-platform/profile/guardrails 1) A maximum of 5 multi-entity relationships defined between primary entities and dimension entities is recommended. Additional relationship mappings should not be made until an existing relationship is removed or disabled. 2) The optimal array cardinality in a profile fragment (time-independent data) is <=500. 3) The optimal array cardinality in an ExperienceEvent (time series data) is <=10. 4) The maximum number of identities in an Identity Graph for an individual profile is 50. Any profiles with more than 50 identities are excluded from segmentation, exports, and lookups. We have learned that AEP have mechanism of auto deleting the Identities based on priority once the 50 count is exceeded. Does it mean even though the Identities never exceed 50, as they keep on deleting, it would still be execluded from segmentat

 using marketo engage source connector, creating a dataflow, there is a toggle button "sample dataflow". As per the documentation it says that this toggle button helps to restrict historical data and can be used for testing purposes.  But is there any impact on handling incremental data with this toggle button. meaning does it restrict amount of data being processed incrementally when this toggle button is enabled?

can someone give me the series of steps we need to do to update dataflow mapping. for ex: if the existing mapping for an attribute if its mapped as direct attributes from source, and now need to add a dataprep while mapping to target attribute. how can i do this using API. 

Is there a way using queryService to find the mapping of dataSetIDs and dataSetTableName using queryService ?I can try getting this from API, but what if its already available in the any of the table that can be accessed via queryService ?

i have seen majorly dataLake size is smaller than profile store, and in very few cases dataLake size is larger than profile store.based on my understanding, one of the reason dataLake size is comparatively is smaller bcz dataLake uses compression technique to store the data, hence the size is smaller that profile store.And if dataSet is enabled for profile, much after the data ingestion has been done already . this causes very less profile to get ingested into profile store, which causes dataLake size to be higher than profile store. Apart from above two reason, what are the other explanation for these size variance between dataLake and profile store ?I have attached screenshot for reference.

Hi All I have a question regarding the potential impact of removing a Profile Enabled Custom Class Lookup Schema. This schema has an established relationship with another Experience Event schema, which is also profile-enabled. The plan is to remove the relationship in the Experience Event schema and then drop the Custom Class Lookup dataset and schema. While it seems like a feasible technical action, I’d like to understand if there could be any negative impacts. Since the Custom Class Lookup schema does not participate in the union schema, I assume dropping it won't affect the union schema, but I wanted to double-check with the community. Looking forward to your insights! 

We have an web event dataset which is profile enabled and ECID is an identity field. Now for record class datasets (Person, Account), we do not have ECID present . Now question is in Customer Profile store, will records for those ECID coming from Web Event Data will appear or not? 

Hi Adobe Community,   I am currently working on sending audiences to an outbound destination through RTCDP. The team that we are sending these audiences to says that it is not able to see our audience name in the file that we send them. I'm wondering if anyone knows how to add the audience name to this outbound file in the audience mapping screen when activating an audience. Is there any out of the box field for audience name?    Thanks, Nick

Everything that’s present in prfile store is also present in dataLake.Lets say there are 4 system sending event streaming data. From profile UI we can see all 4events. How can we back track it to find out which dataset they have the record entry in dataLake ?

Events in AEP are immutable, but can data distiller overwrite or delete the event record if it knows the _id value ?

We have configured the destination and mapped some attribues: The flow was as following: 1. Created a audience2. Created a profile3. Send an event that qualified the profile for the audience4. Checked the audienceMembership5. Sent a pageView via Web SDK and received this response: As you can see, there are no profile attributes, which are populated in the Hub profile:  P.D. We are trying the Edge Network API call in the DEV Sandbox, just in case it is relevant. 

My company wants to send a monthly survey to a defined random subset of customers - I tried Profile Composition but couldn't get a small enough audience.Here's my criteria:Monthly random sample of customersSample of customers is <1% of eligible profilesThanks!

I see there is a native conector in AEP/CDP to Campaign, so you can send audiences to Campaign.However, I also encountered this doc where it says that you can query a segment and export that to Amazon S3 , from where Campaign can import that with a Import Workflow.So, do we need an Amazon S3 bucket or is the native conector enough?

Hi Community, Is there a way in the RTCDP UI or Query Service to see what audiences an attribute is a part of? Thanks!

Hi, everyone.I have a use case where I need to wait for the RT CDP Profiles to be stitched or merged before using them in an AJO Journey. While I wait for this to happen, I need to minimize the waiting time, which is currently over 40 minutes. I'm wondering if this is the best approach and what the ideal waiting time should be, based on real-life experience and guardrails.

We have a use case to schedule a dataflow with ~10M records to a profile enabled dataset for 2-3 times a week. Since its a huge dataset what would be the impact of ingesting this on our sandbox? Just to clarify, we’re not introducing new profile attributes each time—this is simply an increase in the frequency of dataset refreshes. Would this change in frequency affect our storage capacity, export processes, etc

Consider dataStream have 10 fields from profile enabled schema. is there a way to restrict few fields in AEP dataLake ingestion, while getting all fields forwarded to other service such as Adobe Analytics ? So out of 10 fields , only 3 fields goes into dataLake but all 10 field goes into adobe analytics ? IS this even a possibility, I dont find any filtering feature in data mapping UI.