A healthcare company plans to build a machine learning model using AWS to predict patient readmission risks from historical patient records stored in Amazon RDS. They want to use Amazon SageMaker along with appropriate AWS services for data processing and model building. Which configuration ensures seamless integration and robust performance when handling large datasets stored in Amazon RDS?