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[FEA]: Example of Using DFP for Heterogeneous Data Sources #889

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Description

Is this a new feature, an improvement, or a change to existing functionality?

New Feature

How would you describe the priority of this feature request

Medium

Please provide a clear description of problem this feature solves

The current example provided for DFP showcases training/inference on a single data source. It would be beneficial to have a demonstration on how to utilize DFP for multiple data sources with different schemas or a single source with heterogeneous data. This feature request aims to expand the use cases of DFP and provide users with more options to effectively model their data.

Describe your ideal solution

A data science model that serves as a practical example of how DFP can be adapted to handle multiple data sources with differing schemas or a single source with heterogeneous data.

Describe any alternatives you have considered

No response

Additional context

No response

Code of Conduct

  • I agree to follow this project's Code of Conduct
  • I have searched the open feature requests and have found no duplicates for this feature request
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    dfp[Workflow] Related to the Digital Fingerprinting (DFP) workflowfeature requestNew feature or request

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