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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.

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ETL and ELT in Python

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Esercizio pratico interattivo

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import logging

# Import extract, transform, and load functions from pipeline_utils
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