What techniques are used for preventing and detecting data anomalies in large-scale systems?

Some common techniques include: - Adding and implementing validation rules to prevent invalid data entry. Through the definition of schemas and schema constraints to enforce certain minimum standards, you can prevent data anomalies from happening. - Implement data versioning to easily revert back if there are any anomalies detected. - Implement a strong data quality practice to ensure that whatever information enters your system is properly validated and flagged if required.

data databases