machine-learning video for a media streaming company processes video metadata using AWS Glue jobs orchestrated by an AWS Glue workflow. These jobs can run on a
A media streaming company processes video metadata using AWS Glue jobs orchestrated by an AWS Glue workflow. These jobs can run on a schedule or be triggered manually. The company is building Amazon SageMaker Pipelines to develop ML models for predicting user engagement with video content. The pipelines require the processed metadata from the AWS Glue jobs during the feature engineering phase of the ML workflow. The company needs a solution to integrate the AWS Glue jobs with SageMaker Pipelines to ensure seamless data flow. Which solution will meet these requirements with the LEAST operational overhead?