Configure the SQL extension connection to data sources for administrators - Amazon SageMaker
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Configure the SQL extension connection to data sources for administrators

The SQL extension in Amazon SageMaker Studio uses Amazon Glue connections to access data sources.

Before using the SQL extension in JupyterLab notebooks, administrators must set up Amazon Glue connections to data sources. A connection stores the credentials and parameters needed to connect to a data source. Additionally, administrators must grant the necessary IAM permissions to allow Studio to access the data sources.

Before creating connections, administrators should ensure their network allows communication between Studio and the data sources. For information on how administrators can set up networking, see Configure networking for administrators.

This section explains how to set up an Amazon Glue connection and lists the IAM permissions required for the Studio JupyterLab application to access the data through the connection.

Note

Amazon SageMaker Assets integrates Amazon DataZone with Studio. It includes a SageMaker blueprint for administrators to create Studio environments from Amazon DataZone projects within an Amazon DataZone domain.

Users of a JupyterLab application launched from a Studio domain created with the blueprint can automatically access Amazon Glue connections to data assets in their Amazon DataZone catalog when using the SQL extension. This allows querying those data sources without manually setting up connections.

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