This video demonstrates how to set up data quality checks for data assets in the AWS Glue Data Catalog using AWS Glue Data Quality. The presenter, Shiv Narayanan, walks through the process of creating and evaluating data quality rules for a clean trip data table. Key features showcased include auto-generating rules, adding custom rules, and running data quality evaluations. The video highlights how Glue Data Quality can save time in rule creation, provide insights into data issues, and enable continuous monitoring of data quality. It also touches on applying data quality checks in ETL pipelines and on non-catalog data sources.