Data Engineering, Data Quality, Data Governance, Data, Analytics.
“poor, ” meaning an action is required. Data quality summary table–uptime & coverage across quality dimensions and over time This level of insight lets you start asking questions about your data quality, such as While we’ve got good coverage of null value checks, we should look into which ones are