This guest post was written by Francisco Alberini, Product Manager at Monte Carlo and former Product Manager at Segment.
Data pipelines can break for a million different reasons, and there isn’t a one-size-fits all approach to understanding how or why. Here are five critical steps data engineers must take to conduct root cause analysis for data quality issues.
While I can’t know for sure, I’m confident many of us have been there.

#data #root-cause-analysis #data-quality #data-science #data-engineering