AWS – Amazon SageMaker scheduling experience for Visual ETL and Query editors

Amazon SageMaker now offers a unified scheduling experience for visual ETL flows and queries. The next generation of Amazon SageMaker is the center for all your data, analytics, and AI, and includes SageMaker Unified Studio, a single data and AI development environment. Visual ETL in Amazon SageMaker provides a drag-and-drop interface for building ETL flows and authoring flows with Amazon Q. The query editor tool provides a place to write and run queries, view results, and share your work with your team. This new scheduling experience simplifies the scheduling process for Visual ETL and Query editor users.

With unified scheduling you can now schedule your workloads with Amazon EventBridge Scheduler from the same visual interface you use to author your query or visual ETL flow. Previously, you needed to create a code-based workflow in order to run a single flow or query on schedule. You can also view, modify or pause/resume these schedules and monitor the runs they invoked.

This new feature is now available in all AWS regions where Amazon SageMaker is available. Access the supported region list for the most up-to-date availability information.

To learn more, visit our Amazon SageMaker Unified Studio documentation, blog post and Amazon EventBridge Scheduler pricing page.

Read More for the details.