SageMaker Space

Docs > DDSQL Reference > Data Directory > SageMaker Space

SageMaker Space is a managed, collaborative environment in Amazon SageMaker that provides users with a pre-configured workspace for machine learning development. It allows data scientists and developers to access shared resources, tools, and notebooks in a secure and scalable way, simplifying setup and collaboration within teams.

aws.sagemaker_space

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
creation_time	core	timestamp	The creation time.
domain_id	core	string	The ID of the associated domain.
failure_reason	core	string	The failure reason.
home_efs_file_system_uid	core	string	The ID of the space's profile in the Amazon EFS volume.
last_modified_time	core	timestamp	The last modified time.
ownership_settings	core	json	The collection of ownership settings for a space.
space_arn	core	string	The space's Amazon Resource Name (ARN).
space_display_name	core	string	The name of the space that appears in the Amazon SageMaker Studio UI.
space_name	core	string	The name of the space.
space_settings	core	json	A collection of space settings.
space_sharing_settings	core	json	The collection of space sharing settings for a space.
status	core	string	The status.
tags	core	hstore
url	core	string	Returns the URL of the space. If the space is created with Amazon Web Services IAM Identity Center (Successor to Amazon Web Services Single Sign-On) authentication, users can navigate to the URL after appending the respective redirect parameter for the application type to be federated through Amazon Web Services IAM Identity Center. The following application types are supported: Studio Classic: &redirect=JupyterServer JupyterLab: &redirect=JupyterLab Code Editor, based on Code-OSS, Visual Studio Code - Open Source: &redirect=CodeEditor