Data and catalog connections in IAM-based domains - Amazon SageMaker Unified Studio
PrerequisitesSupported data connectionsAWS resources created by connections

Data and catalog connections in IAM-based domains

Amazon SageMaker Unified Studio notebooks can connect to multiple data sources including Amazon S3, AWS Glue Data Catalog, Amazon Athena, Amazon Redshift, and third-party sources. You can query data directly from these sources using SQL cells or Python code. The notebook interface provides built-in connectors for AWS services and supports custom connections for external data sources. Data connections are configured at the project level and shared across notebooks.

Prerequisites

  1. Configured data connections in your Amazon SageMaker Unified Studio project

  2. Appropriate IAM permissions to access data sources

  3. Network connectivity to external data sources if applicable

Supported data connections

Amazon SageMaker Unified Studio supports the following data connections for IAM-based domains:

Databases and data warehouses

  • Amazon DocumentDB

  • Amazon DynamoDB

  • Amazon Redshift

  • Aurora MySQL

  • Aurora PostgreSQL

  • Azure SQL

  • Google BigQuery

  • Microsoft SQL Server

  • MySQL

  • Oracle

  • PostgreSQL

  • Snowflake

Storage

  • Amazon S3

AWS resources created by connections

When you create a connection in Amazon SageMaker Unified Studio, the following resources are created in your AWS account(s) behind the scenes:

  • AWS Glue connection - a connection object that stores core connection information.

Those resources are visible in the account where Amazon SageMaker Unified Studio domain is hosted and you can discover and describe them through Console or API/SDK/CLI of the corresponding service (in this case - AWS Glue).