Announcing AWS Glue for Ray (Preview)
AWS Glue for Ray is a new engine option on AWS Glue. Data engineers can use AWS Glue for Ray to process large datasets with Python and popular Python libraries. AWS Glue is a serverless, scalable data integration service used to discover, prepare, move, and integrate data from multiple sources. AWS Glue for Ray combines that serverless option for data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads.
AWS Glue for Ray is a new engine option on AWS Glue. Data engineers can use AWS Glue for Ray to process large datasets with Python and popular Python libraries. AWS Glue is a serverless, scalable data integration service used to discover, prepare, move, and integrate data from multiple sources. AWS Glue for Ray combines that serverless option for data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads.
You pay only for the resources that you use while running code, and you don’t need to configure or tune any resources. AWS Glue for Ray facilitates the distributed processing of your Python code over multi-node clusters. You can create and run Ray jobs anywhere that you run AWS Glue ETL (extract, transform, and load) jobs. This includes existing AWS Glue jobs, command line interfaces (CLIs), and APIs. You can select the Ray engine through notebooks on AWS Glue Studio, Amazon SageMaker Studio Notebook, or locally. When the Ray job is ready, you can run it on demand or on a schedule.
AWS Glue for Ray is available in preview in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland).
To learn more, see our documentation.