How to Get Started with Data Quality as Code in Your PipelinesIn Part 1, we explored why traditional data quality testing happens too late—after bad data has already reached production. Data Quality as Code shifts validation left, letting you catch issues during transformation before they propagate downstream. ...Jan 20 · 6 min readblog.getcollate.io
Introducing Data Quality as Code: Validate Data Before It Lands, Not AfterEvery data team knows the scenario: By the time quality tests catch errors, bad data has already reached production and hit user dashboards and business reports. The problem isn't that organizations don't test their data; it's that they test it too l...Jan 19 · 8 min readblog.getcollate.io
