Amazon SageMaker now provides a new set up experience for Amazon DataZone projects, making it easier for customers to govern access to data and machine learning (ML) assets. With this capability, administrators can now set up Amazon DataZone projects by importing their existing authorized users, security configurations, and policies from Amazon SageMaker domains.
Today, Amazon SageMaker customers use domains to organize list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud configurations. With this launch, administrators can now accelerate the process of setting up governance for data and ML assets in Amazon SageMaker. They can import users and configurations from existing SageMaker domains to Amazon DataZone projects, mapping SageMaker users to corresponding Amazon DataZone project members. This enables project members to search, discover, and consume ML and data assets within Amazon SageMaker capabilities such as Studio, Canvas, and notebooks. Also, project members can publish these assets from Amazon SageMaker to the DataZone business catalog, enabling other project members to discover and request access to them.
This capability is available in all Amazon Web Services regions where Amazon SageMaker and Amazon DataZone are currently available. To get started, see the Amazon SageMaker administrator guide.
Source:: Amazon AWS