Discover How to Supercharge Your SQL Workflow with VS Code & GitHub Copilot  Looking for a flexible, lightweight tool to manage SQL, download JSON data, and more? Visual Studio Code (VS Code) is your go-to solution. Paired with GitHub Copilot, this setup takes your development to the next level by p...

Navigate your data journey with precision—empower every decision with the Data Distiller Use Case & Capability Matrix

In today’s highly competitive market, understanding customer behavior and acting on insights in real time is critical for success. Businesses are constantly looking for ways to drive personalized experiences that increase customer engagement and loyalty. One method that has stood the test of time in...

First of all, a great question and hence demands an explanation on what is happening and why. Here’s an additional explanation for others to better understand the core issue:Each time a dataset is created, a new dataset ID is generated.If a dataset is dropped (deleted) and recreated, it will result ...

This feature is being released at the end of this month in September. 2024 The audience schema for Real-Time Customer Profile has undergone changes where the previous schema is being deprecated. We will be publishing the new schema which we believe is lot simpler. This is the code for the old schema...

The lookup can be a dataset that you import into AEP. Use Data Distiller with Profile Snapshot and you should be good to go. You can generate a set of searches dataset on schedule for verification.

You should read this document I published: https://data-distiller.all-stuff-data.com/unit-5-audiences-and-segmentation/aud-101-build-segment-overlaps-using-profile-attribute-snapshot-datasets Profile snapshot datasets is the answer you are looking for and you can use SQL on it. 

Key AEP concepts that you need to know: 1. When you enable a dataset for Profile, Profile Store and Identity Store (contains the identity graph) monitor for new batches of data from the moment you enabled it. If you disable it, it stops ingesting new data.  2. Deleting a dataset will delete all data...