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Archeology on the notebooks / documentation
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Description

Identify

  • Data transformations that have been copy/pasted around notebooks
  • Input data that exist either in a production dag, or should exist in one
  • Code exists in another pipeline or a different python package, which could be shared for risk observatory

Document findings, and review with Pablo to verify correctness.

Details

Due Date
Oct 24 2023, 4:00 AM