In one of recent Meetups I heard that one of the most difficult data engineering tasks is ensuring good data quality. I'm more than agree with that statement and that's the reason why in this post I will share one of solutions to detect data issues with PySpark (my first PySpark code !) and Python library called Cerberus.
