This demo showcases the integration between AWS Glue Studio and Amazon SageMaker Studio for seamless data processing and machine learning workflows. The presenter demonstrates how to use AWS Glue to clean and process data from multiple sources, then leverage SageMaker for model training and deployment. The video highlights the unified experience provided by SageMaker Studio, allowing data engineers and ML practitioners to work collaboratively within a single interface. Key features demonstrated include using Glue interactive sessions with Spark for data processing, scheduling data processing tasks, and utilizing SageMaker for model training and deployment. The integration simplifies the end-to-end machine learning pipeline, from data preparation to model deployment, all within the SageMaker Studio environment.