Hey there! Data quality metrics can definitely feel overwhelming at first, but once you break it down, it’s not so bad. For accuracy, I usually rely on error rates and outlier detection. For consistency, I look at how often data points align across different sources.
One tool I’d recommend is Apache Griffin. It’s open-source and great for defining and monitoring data quality metrics. Also, check out Dataiku if you’re into more visual workflows.
Hope this gives you a starting point!
One tool I’d recommend is Apache Griffin. It’s open-source and great for defining and monitoring data quality metrics. Also, check out Dataiku if you’re into more visual workflows.
Hope this gives you a starting point!
