Adobe Experience Platform

Hi everyone,I’m working on a schema configuration and have run into a question regarding field group inheritance and Profile enablement.The Setup: I have a Custom Field Group containing Field A and Field B. Field A was marked as "Required" at the Global Field Group level (it appears as mandatory in every schema it is added to). In my specific schema, I have designated Field B as the Primary Identity. In most other schemas across our organization, Field A is usually the Primary Identity. The Question: If I enable this schema for Profile and begin ingesting data, will my local configuration (marking Field B as Primary) have any "upstream" impact on the Field Group definition? Specifically, will Field B suddenly become a required field for other schemas using this same Field Group?Also, since Field A is "Required" at the group level but is NOT my primary identity in this specific use case, is there a recommended way to handle this during ingestion if Field A values aren't the focus

Hi Community,I'm looking for guidance on handling datetime values in Adobe Experience Platform where the source data is in local datetime but AEP's datetime datatype only stores values in UTC.The scenario:We ingest event data that includes timestamps originally in local datetime. Since AEP schemas require the datetime datatype to be in UTC format, the local time context is lost upon ingestion.However, when we use this data downstream for example, in personalization templates or email rendering we need to display the datetime back in the original local datetime format for the end user.My questions: Dual storage approach — Is it a recommended practice to store both a string field (preserving the original local datetime as-is) and a datetime field (in UTC) in the schema? This way, the string field can be used for display purposes and the datetime field for any time-based logic or segmentation.  Conversion functions — Are there any built-in helper functions that can convert a UTC datetim

Hello all,I want to re-ingest on data again for one of the failed batch. I have corrected the payload json but still getting an error and not succeeding with the batch re-ingestion. Can someone help me with is there any guideline to preparing the payload json, please help me.Is there any option to validate payload json in AEP itself before re ingesting it.Error details: There were errors encountered while parsing, converting, or validating the data. Please enable error diagnostics and ingest data again to preview or download an error log.Thanks,Kishore

Hi all, I’m currently trying to use the calculated field function in Data Prep to write logic for marketing channels, based on different URL parameters. However, I’m struggling with the syntax the interface is expecting, it seems to be semi SQL based but Adobe’s documentation is unclear around what the expected syntax should be.I’m trying to use the iif function to build out the logic, such as:iif(web.webPageDetails.URL LIKE ‘%di-social%’, "Social ",iif…Has anyone else used calculated fields for a similar purpose? Or are familiar with what syntax is expected for using nested iif statements?

I have the below network request { "events": [ { "xdm": { "eventType": "web.webpagedetails.pageViews", "web": { "webPageDetails": { "URL": "https://www.xyz.com" }, "webReferrer": { "URL": "https://www.xyz.com" } }, "device": { "screenHeight": 800, "screenWidth": 1280, "screenOrientation": "landscape" }, "environment": { "type": "browser", "browserDetails": { "viewportWidth": 1265, "viewportHeight": 150 } }, "placeContext": { "localTimezoneOffset": -330, "localTime": "2026-05-08T09:54:09.711+05:30", "ianaTimezone": "Asia/Calcutta" }, "timestamp": "2026-05-08T04:24:09.714Z", "implementationDetails": { "name": "https://ns.adobe.com/experience/alloy/reactor", "version": "__VERSION__+2.34.2", "environment": "browser"

If the JSON is not flat is it possible to use Data Prep??

I’m trying to create a new field in an already profile-enabled schema. I usually add fields to this schema without any issues, but today I’m encountering an error.The error indicates that there is an empty object in another schema that this one is referencing. I checked the referenced schema, but I’m not able to find any empty object there.Has anyone encountered this before or knows what might be causing it?Error:An object field has an empty 'properties' attribute. Field path: /definitions/customFields/properties/<field group

We have a lot of websites implemented with web SDK tagging . Each websites has their own Tag properties, managed Libraries and Environments. There is an issue which frequently occurs as the FE team incorrectly updates the launch script in individual websites. And it is difficult to manually inspect all the websites on daily basis and see if those are having the correct launch scripts. Is there a proven/simple way to automate this with some tools and check on daily basis that all the websites has the expected launch script present?  and also send an alert if an incorrect launch script is injected in a website? Please advise.

Hello,  I am currently implementing onetrust and we are going with an opt-out model where the cookies are placed in the users browser by default and the user needs to opt-out of them. When I reject all cookies I see all my calls being blocked which is working as expected but I still see the cookies in my browser. No data is being sent to the cookies but the cookies are still there. Is this an issue? I have looked at other organizations' do the same. They block calls and cookies are still in the browser. Is this normal for an opt-out approach? I'm also aware that some third party cookies and secure first party cookies cannot be deleted via javascript. Is there a way around this and to delete cookies based on users consent?  

I have a source JSON with an array of objects. Each object has nested fields including an identifier and a code. I need to extract the identifier from the array item where a specific nested field matches a given value.Example Structure:{ "items": [ { "details": { "id": null, "type": { "code": "ABC" } } }, { "details": { "id": "123456", "type": { "code": "XYZ" } } } ]}Goal: Extract details.id from the array item where details.type.code == "XYZ". The array length is not fixed — it could have 1 to N items, and the matching item could be at any index. Current approach (works but not scalable):coalesce(  iif(items[0].details.type.code == "XYZ", items[0].details.id, null),  iif(items[1].details.type.code == "XYZ", items[1].details.id, null),  iif(items[2].details.type.code == "XYZ", items[2].details.id, null),  null)Question:Is there a cleaner built-in Data Prep function to conditionally filter an array by a nested field value dur

We have an existing dataset that is enabled for customer profiles. Recently, some incorrect or undesirable data has been ingested into this dataset. I am looking for expert guidance on whether it is possible to remove or correct only the affected records without impacting the already established customer profiles or downstream profile calculations.Specifically, I would like to understand the recommended approach or best practices for safely remediating bad data in a profile‑enabled dataset, while preserving profile integrity and minimizing any disruption to current profiles or dependent use cases.if we delete the that particular batch from dataset , does those are removed from profile store ? after correcting the data , if we re-ingest does the event data is overwritten with the latest data , Suggest me how can i resolve this 

We are attempting to create the edge audience using the Adobe API endpoint, but the profiles are not being qualified when we use streaming ingestion with the streaming API. However, when we manually create an edge audience through the UI, the profiles are being qualified when we use streaming ingestion API(Postman). These 2 Audience are manually created edge Audiences by using UI, but we don't see any API created audiences' qualification for the same data.

I have created a Workspace Project Template which I intend to use for another of my organization which will also have the same schema and datasets, connections, dataviews. I have added a few calculated metrics in my Template. I was wondering how do I replicate the same Workspace Project using the Template for another Org ID using the calculated metrics I created previously?The idea here is to basically analyze the same structure of data in the same manner but for different organizations. Do the calculated metrics get copied from the Template?

Hi Team,I’m experiencing an issue where records deleted at the application level are not being fully removed from the Data Lake.Even after performing deletion, the data still appears to persist in the underlying storage. I’m unsure whether this is expected behavior due to delayed processing (e.g., background cleanup jobs, retention policies), or if it indicates a problem in the deletion workflow.Could anyone clarify:- Does deletion propagate asynchronously to the Data Lake?- Is there a recommended way to validate physical data cleanup?- Are there configurations that control this behavior?Any insights or best practices would be greatly appreciated.Thanks in advance!

I have got multiple companies under one AEP sandbox. These have separate data for each and one common for shred campaigns. Due to that some attributes might be nested at depth 5 (no primary ID, no relationships). In the documentation its said that performance guardrail is max 4 but for relationships and primary ids. Is 5 fine? What are your experiences?

We have Data coming from the source all the data relates to an event but we are not getting a timestamp from the source that is unique for each event it is same for couple of events relates to the different user what should we use for mapping in this case is it now() or timestamp for data prep

Can you give the solution to customize and create the RTE plugin for external link builder experience in RTE for AEM to add the anchor tag and have data-link-attrs for modal popup inside the a tag?

Hi ​@Community I am working on AEP-SFMC API based destination connection. I have created a streaming type audience and activated it using SFMC API based connection. SFMC connection is set up successfully as I can see the target fields during mapping. On Audience activation profile get activated to destination.“Dataexport” is used as marketing action and no consent policy is used.Destination data flow runs and complete successfully but i get “Identities excluded” while profiles are received but none activated.“Identity excluded” comes with below description :  “The identities associated to some profiles cannot be exported to the destination due to missing user consent, or the consent provided by users does not match the consent settings applied to the destination. To respect user privacy, Experience Platform will not export these identities to this destination. For more information, refer to the Consent policy documentation: https://www.adobe.com/go/consent-policy-enforcement. “  I am n

Hi All,I’ve created a Custom schema and a dataset with a primary identity configured and enabled for lookup. The schema contains 20 attributes, of which 15 are marked as required.When I try to ingest data using the UI JSON upload, the UI throws an error with an empty message ("Add data is disabled because a required attribute is missing"). However, when I ingest the same data using other sources such as S3 or HTTP API ingestion, it works without any issues.Based on an AI search:Primary identity need to be correctly configured. This may be a UI-related limitation. The drag-and-drop JSON uploader seems to use a “simple ingestion” path, which does not support the same flexibility as dataflows (for example: mappings, transformations, defaults, conditional logic, or excluding empty keys). The platform may be performing a pre-validation and blocking the upload if it determines that required attributes cannot be guaranteed, even before actual ingestion.Is this a known issue, or are there spec

Hi all! Has anyone managed to successfully add and see custom validation results in the validation overview of an Assurance session?When creating and publishing custom validators, I still cannot see their results showing in the Assurance overview, however I do see the function showing in the dropdown when I go back into the validators. The validator is published and shows the (failing) results as expected on a given session. I just cannot see this in the overview and do not see a way to manually add this, so assume that this should come automatically? The documentation seems unfortunately extremely thin on this topic, Adobe...Newly created validator (published) Missing new validator in overview Validator as such when looked at within a specific session correctly shows validation errorsCheers from Switzerland 

If I create Data Type with API its not editable in UI? Is it standard behaviour?

I have relationship between these two schemas: profile schema with ID of user’s favourite petrol station  non profile schema with relationship to schema from point A. All the details about petrol station - what is available etc Does it make sense to use the schema from point B as a lookup schema in AJO? 

Just a quick question - can someone help us to understand if Dynamic Datastream rerouting occurs after datastream transformations? or if this happens before? I assume its afterwards but I wanted confirmation. Thanks,Ty

 After a recent upgrade of the OneTrust Consent Management for Cookies extension in Adobe Launch, we started encountering the following runtime error:Uncaught Error: [OptIn] Invalid category(-ies). Please use the `OptIn.Categories` enum.This error was not present before the extension upgrade and now occurs consistently after publishing the new build. Observations✅ Previous OneTrust Extension Version (working)In the older version of the OneTrust extension, the generated custom code configuration looked like this: JSON {"otConfiguration": {}}``Show more linesThere were no undefined Adobe categories, and Adobe Opt‑In worked as expected.❌ New OneTrust Extension Version (after upgrade)After upgrading the OneTrust extension, the generated configuration now looks like the following:  {"autoLoadScript": false,"otConfiguration": {"adobeCat_0": "undefined","adobeCat_1": "undefined","adobeCat_2": "undefined","adobeCat_3": "undefined","adobeCat_4": "undefined","adobeCat_5": "undefined","adobeCat_6

Hello Community,I have a clarification question related to datetime formatting in Adobe Experience Platform (AEP) using Data Prep.From the source file, we receive the datetime value as a string in the following format:2026-04-10 14:23:56My requirement is to ingest this into AEP as a datetime/timestamp field, but with the date represented in MM‑DD‑YYYY order, for example:04-10-2026 14:23:00The primary concern here is whether AEP allows transforming and storing the datetime in MM‑DD‑YYYY HH:mm:SS format, instead of the default YYYY‑MM‑DD.I understand that AEP standardizes timestamps internally, but I would like to confirm:Is it technically possible in AEP Data Prep to store a datetime with the MM‑DD‑YYYY date order? If not, is this format strictly limited to parsing at ingestion ? What would be the recommended best practice in this scenario?Any guidance or confirmation from the community would be very helpful.Thank you!