This video introduces AWS Glue Data Quality, a feature that measures and monitors data quality in Amazon S3 data lakes and AWS Glue ETL jobs. The demonstration shows how to create an AWS Glue job with data quality rules using Glue Studio. It covers setting up row count and completeness rules, configuring job failure conditions, and publishing results to CloudWatch. The video also explains how to analyze data quality results using Amazon Athena and Amazon QuickSight, providing insights into data pipeline integrity.