Checking Data Quality with SQL — a Configurable Framework for Spotting Bad Data Generically

1. 1Build a SQL query to identify duplicate values in a column
2. 2Configure a framework to check for invalid or out-of-range values
3. 3Test the framework with sample data to ensure it's working correctly
4. 4Apply the framework to a production database to identify bad data
5. 5Compare the results with existing data quality checks to refine the framework

Data analysts, data scientists, and database administrators can benefit from this framework to identify and fix data quality issues, improving overall data reliability and decision-making

💡 A configurable SQL framework can help identify bad data generically, reducing the risk of incorrect insights and decisions

🚨 Bad data alert! 🚨 Learn to build a configurable SQL framework to spot bad data and ensure data quality #DataQuality #SQL