Amazon SageMaker Unified Studio adds S3 file sharing options to projects

Amazon SageMaker Unified Studio now offers a simplified file storage option in projects, providing data workers with an easier way to collaborate on their analytics and machine learning workflows without depending on Git. You can now choose between Git repositories (GitHub, GitLab or Bitbucket Cloud) or Amazon Simple Storage (S3) buckets for sharing code files between the various members of a project. While S3 is the default option, customers who want to use Git can still continue to have the same experience as they currently do.

With this launch, customers will see a consistent view of their files irrespective of the tool they are working in across SageMaker Unified Studio (such as JupyterLab, Code Editor or SQL query editor) making it easy to create, edit and share code. The S3 file storage option operates on a “last write wins” principle and supports basic file versioning when enabled by administrators. This option is particularly beneficial for data science teams who want to focus on their analytics and machine learning work without managing Git operations, while still maintaining a collaborative workspace for their project artifacts.

This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more about storage options in SageMaker Unified Studio projects, see Managing Project Files in the Amazon SageMaker Unified Studio User Guide.

Categories: marketing:marchitecture/analytics,general:products/amazon-sagemaker

Source: Amazon Web Services

Latest Posts