Run data quality checks by manually inspecting the data and identifying any inconsistencies.

Use AWS Glue to run data quality checks by writing custom scripts that check for empty fields and other data quality issues.

Define data quality rules using AWS Glue DataBrew by creating a new project, selecting the dataset, and specifying the rules to be applied.

Ignore data quality checks and focus solely on processing the data as quickly as possible.