AWS expands data connectivity for Amazon SageMaker Lakehouse and AWS Glue

Amazon SageMaker Lakehouse announces unified data connectivity capabilities to streamline the creation, management, and usage of connections to data sources across databases, data lakes and enterprise applications. SageMaker Lakehouse unified data connectivity provides a connection configuration template, support for standard authentication methods like basic authentication and OAuth 2.0, connection testing, metadata retrieval, and data preview. Customers can create SageMaker Lakehouse connections through SageMaker Unified Studio (preview), AWS Glue console, or custom-built application using APIs under AWS Glue.

With SageMaker Lakehouse unified data connectivity, a data connection is configured once and can be reused by SageMaker Unified Studio, AWS Glue and Amazon Athena for use cases in data integration, data analytics and data science. You will gain confidence in the established connection by validating credentials with connection testing. With the ability to browse metadata, you can understand the structure and schema of the data source and identify relevant tables and fields. Lastly, the data preview capability supports mapping source fields to target schemas, identifying needed data transformation, and receiving immediate feedback on the source data queries.

SageMaker Lakehouse unified connectivity is available where Amazon SageMaker Lakehouse or AWS Glue is available. To get started, visit AWS Glue connection documentation or the Amazon SageMaker Lakehouse data connection documentation.