A retail company uses AWS Glue ETL for processing customer order data and needs to enforce custom validation rules to ensure correctness and consistency. What solution will meet this requirement?

Creating custom AWS Glue Data Quality rulesets allows you to define specific validation rules tailored to your retail company's unique requirements for customer order data. This enables enforcement of correctness and consistency beyond standard checks. AWS Glue job bookmarks track processed data to prevent re-processing, not to enforce data quality. While AWS Glue Data Quality transforms offer built-in validations, they might not cover all custom rules needed. AWS Glue Data Catalog stores metadata and schemas, which is crucial for data governance but doesn't actively enforce data quality rules during ETL processing.