AWS › AWS Glue & ETL
How does AWS Glue support sensitive data handling through features like the Glue Data Quality and Sensitive Data Detection capabilities?
AdvancedAnswer
AWS Glue Data Quality lets you define and enforce data quality rules directly within your ETL pipelines, automatically flagging or filtering out records that fail checks such as missing required fields or values outside an expected range, while Glue's sensitive data detection capability can automatically scan data for patterns matching personally identifiable information, such as social security numbers or credit card numbers, helping organizations identify and appropriately handle sensitive data as part of their automated data pipelines.
aws glue create-data-quality-ruleset --name sales-quality-rules --ruleset 'Rules = [ColumnValues "order_total" > 0]'Real-world example A healthcare data pipeline uses Glue's sensitive data detection capability to automatically identify columns containing patient identifiers within newly ingested data, flagging them for additional encryption and access control before the data moves further downstream.