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.
Deze oefening maakt deel uit van de cursus
ETL and ELT in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
import logging
# Import extract, transform, and load functions from pipeline_utils
____