Running a data pipeline end-to-end
It's important to monitor the performance of a pipeline when running in production. Earlier in the course, you explored tools such as exception handling and logging. In this last exercise, we'll practice running a pipeline end-to-end, while monitoring for exceptions and logging performance.
This exercise is part of the course
ETL and ELT in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import logging
# Import extract, transform, and load functions from pipeline_utils
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