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.
Bu egzersiz
ETL and ELT in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
import logging
# Import extract, transform, and load functions from pipeline_utils
____