Anti-patterns for data testing

Testing data drift: Testing data in environments that do not mirror production datasets can result in testing outdated data schemas, different configurations, or testing data not representative of real-world conditions. Tests that pass in a non-representative environment might fail in production, leading to undetected data issues. Ensure that testing environments mirror production as closely as possible, both in terms of configuration and the nature of the data. Regularly update testing environment datasets to reflect changes in production.