data-engineer video for a company wants to ensure their customer data adheres to strict data quality rules before loading it into an Amazon Redshift data
A company wants to ensure their customer data adheres to strict data quality rules before loading it into an Amazon Redshift data warehouse. The team uses AWS Glue ETL jobs to process the data and wants to validate certain rules, such as ensuring all customer email addresses follow a standard format and there are no null values in required fields. How can they implement these data quality checks in AWS Glue?