Amazon SageMaker Catalog now exports asset metadata as queryable dataset

Amazon SageMaker Catalog Updates

Amazon SageMaker Catalog now exports asset metadata as an Apache Iceberg table through Amazon S3 Tables. This allows data teams to query catalog inventory using standard SQL without building custom ETL infrastructure for reporting.

The exported table includes:

• Technical metadata: resource_id, resource_type
• Business metadata: asset_name, business_description
• Ownership details
• Timestamps

Data is partitioned by snapshot_date for time travel queries and automatically appears in SageMaker Unified Studio under the aws-sagemaker-catalog bucket.

What to do

• Activate dataset export using the AWS CLI
• Access the asset table through S3 Tables or SageMaker Unified Studio's Data tab within 24 hours
• Query using Amazon Athena, Studio notebooks, or connect external BI tools through the S3 Tables Iceberg REST Catalog endpoint

Source: AWS release notes

If you need further guidance on AWS, our experts are available at AWS@westloop.io. You may also reach us by submitting the Contact Us form.