Feb. 12, 2022, 5:16 a.m. | Lior Gavish

Towards Data Science - Medium towardsdatascience.com

You already test your data. Do you need data observability, too?

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For the past decade, the first-and-only line of defense against bad data was testing.

Similar to how software engineers would use unit tests to identify buggy code before it was pushed to production, data engineers would leverage tests to detect and prevent potential data quality issues from moving further downstream. This approach was (mostly) fine — until …

data data engineering data-observability data-reliability data science data-testing observability testing

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