Quantemplate launches validation suite to improve data quality
We’ve extended the validation suite capability to include the much requested drill down feature. This allows users to immediately drill down to rows and columns that have failed the set data quality rules.
The rules still allow flexible queries, such as checking that the values in a column do not exceed the values in another column, or that the length of a text string is within specified parameters.
This is a simple yet powerful way for users to rapidly assess the quality of their data as well as their transformation stages. It’s another step towards ensuring that our users can confidently take action on the insights they discover on the Quantemplate platform.
Get in touch to learn how you can use the new validation feature next time you run a pipeline.