AWS – Amazon SageMaker streamlines S3 Tables workflow experience

Amazon SageMaker has simplified the process of creating, querying, and joining Amazon S3 Tables with data in Amazon S3 general purpose buckets, Amazon Redshift data warehouses, and third-party data sources by allowing customers to create S3 table buckets and the related catalogs without having to navigate between multiple AWS consoles.

Users can now create tables, load data, and run queries using the Query Editor or Jupyter Notebook within SageMaker Unified Studio. For administrators, the update includes the ability to enable analytics integration with S3 for their AWS account and create custom profiles. Project owners can use these profiles to set up projects with pre-configured catalogs and S3 Tables support, reducing the manual configuration steps required to get started.

This updated S3 Tables experience in SageMaker Unified Studio is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Canada(Central), South America (São Paulo), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Tokyo),Asia Pacific (Sydney), Europe (Paris), Europe (Stockholm), Europe (London), and Europe (Frankfurt).

To get started with the updated S3 Tables workflow in SageMaker Unified Studio, see the Amazon SageMaker documentation.

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