This video demonstrates an advanced AWS Glue Studio visual job using recently added components. The presenter, Gonzalo from the AWS Glue team, walks through a sophisticated data pipeline built without coding. The job processes stock market order data, performing various transformations including currency standardization, data normalization, and aggregation. Key features showcased include splitting fields, unpivoting columns, exploding arrays, and applying derived columns. The demo highlights how Glue Studio's visual interface enables complex ETL operations without requiring manual coding.