Has anyone used Data Distiller capabilities and built any use cases around it? I want to understand what the benefit of it is and how it can be used or implemented? any suggestions on certain use cases will be helpful
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@ribhubanerjee There are quite a few use cases,in short every time you need a way to manipulate, subset and in some cases fix data issues data distiller can come in handy.. some examples include
Hope that helps
Anil
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@ribhubanerjee There are quite a few use cases,in short every time you need a way to manipulate, subset and in some cases fix data issues data distiller can come in handy.. some examples include
Hope that helps
Anil
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The best explanation for this is here:
I am hoping to bring all of the Data Distiller material into this community soon.
In essence, when it comes to any batch data processing for Real-Time Customer Profile, Audiences, Personalization attributes, and even Customer Journey Analytics, Data Distiller will help you clean, shape, and manipulate that data. It also supports creation of reports and creating feature engineering pipelines for AI/ML workflows.
Here is what is underneath the hood and it is a very good read of how it actually works:
Thanks for sharing this. This definitely helps in better understanding.
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