I see it as insurance. Companies invest so much time and money into developing data-powered solutions (ML models, BI dashboards, …) only to ‘hope’ that nothing will change in the future and… - Adam Votava - Medium

The need for a data quality verification tool in all these steps is obvious. Unlike unit tests which check executable code (mostly at compile or build/deploy time), data tests …

Great Expectations

Andreas Hopfgartner

Nov 20, 2020

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I see it as insurance. Companies invest so much time and money into developing data-powered solutions (ML models, BI dashboards, …) only to ‘hope’ that nothing will change in the future and everything will work fine.

Adam Votava

Written by Adam Votava

Data scientist | avid cyclist | amateur pianist (I'm sharing my personal opinion and experience, which should not to be considered professional advice)

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