Amazon SageMaker introduces a visual workflows builder

Amazon SageMaker now offers a visual builder experience for creating and managing workflows. This feature is part of the next generation of Amazon SageMaker – the center for all your data, analytics, and AI, and is available within SageMaker Unified Studio, a single data and AI development environment. Visual workflows in Amazon SageMaker provides a drag-and-drop interface for building workflows and simplifies authoring and scheduling processes for data engineers and data scientists.

With visual workflows, you now have a visual, low-code way to represent a series of tasks, such as a data processing job that loads information into a table followed by a notebook that analyzes the loaded data. You can quickly get started by authoring your workflow visually and then continue to customize with code, if desired. Amazon SageMaker uses Amazon Managed Workflows for Apache Airflow (MWAA) to run workflows. With this new feature, you can create and modify workflows, view and adjust workflow schedules, pause or resume schedules as needed, and monitor the status and logs of workflow runs. This visual approach simplifies workflow management and provides greater ease-of-use for your data processes.

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 MWAA pricing page. 

Categories:

Source: Amazon Web Services

Latest Posts