@SantoshRa5  Short Answer -  Yes, calculated fields are super handy but using calculated fields in your dataflow mappings mainly when you're working with large files, can impact ingestion performance depending on how complex the logic is.  However, AEP is designed to handle such workloads. A few bes...

@KevLa1 It is possible the rule did not have enough time to fire before the new page loads. Try checking the box within the rule identifier indicating ‘Delay link activation’. A delay keeps the activated link from loading until the rule has fired. Note: This setting is only effective on actual link,...

@BrandonFa6  I see you are using OR condition, in that case, the Audience Evaluation on Audience B (in your example: Brandon Graeme Test Audience #4.4 TWC25E_250601 NEW SEEDS) will only return its count as Audience A (EMID NEW All Seed Profiles) has not yet been evaluated. In other words, OR conditi...

@Michael_Soprano Yes, you can definitely connect external tools to Adobe’s Observability API. Can use tools like Datadog, Azure Monitor, Workbook, logic app Splunk, Grafana etc. by pulling metrics via scheduled jobs, serverless functions.

@Tejasvi_mudumala  Try to temporarily create a new dataflow to the same Azure container and use different dataset (for test), now upload a new file with a unique name. This will helps you isolate whether the issue is with the file recognition logic, or a stuck state in the existing dataflow.   

@ChanuteJo  Even with Kafka, AEP's internal processing pipeline is not fully real-time in the way many of us will expect from other event-streaming systems. Adobe is not an event processing engine, but a profile-stitched platform and as of today stitching takes time. For true real-time use cases, co...

@SaurabhPa5  In AEP, Data Distiller and Query Service are closely related but distinct capabilities for working with data stored in the AEP Data Lake. This FAQ document answers your questions about Query Service and Data Distiller. It also includes commonly seen error codes while using the “Queries”...

@Rafael_Sahagun  Yes, keeping a SKU or product ID is still important mainly as a stable key for retroactive classification, data joins, and product-level analysis in both Analytics and Experience Platform. I'd recommend following - Keep SKU or product ID as a stable key Minimize real-time attribute ...

@AGoodDoc The AEP license usage dashboard is typically updated daily based on a snapshot of your AEP instance. The update will not be visible until the next day's snapshot is taken.  It is important to note that deleting a dataset removes it from the data lake and other associated services like the ...

@FernandoVe3  Unfortunately, there's no official “unshare” button yet. But you can mimic it: Open the Data View where the shared dimension was originally imported.Go to the Components section within that Data View setup and click Add dimensionUse the same field mapping and settings as the shared one...