Anomaly Detection

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.