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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity
- Amazon SageMaker Lakehouse unified data connectivity addresses the challenges that arise when integrating and analyzing data from multiple sources, services, and applications.
- With SageMaker Lakehouse unified data connectivity, you can set up a connection to a data source using a connection configuration template that is standardized for multiple services.
- SageMaker Lakehouse unified data connectivity supports standard methods for data source connection authorization and authentications, such as basic authorization and OAuth2.
- SageMaker Lakehouse unified data connectivity’s data preview capability helps you map source fields to target schemas, identify needed data transformation, and plan data standardization and normalization steps.
- This post demonstrates how SageMaker Lakehouse unified data connectivity helps your data integration workload by streamlining the establishment and management of connections for various data sources.
- SageMaker Lakehouse unified data connectivity provides a set of APIs for you to use without the need to learn different APIs for various data sources, promoting coding efficiency and productivity.
- The article demonstrates how to set up a connection and run queries using different AWS services such as SageMaker Unified Studio, AWS Glue, and Amazon Athena.
- SageMaker Lakehouse unified data connectivity not only works in SageMaker Unified Studio, but also directly in AWS Glue console without needing to create separate individual connections.
- This new capability can simplify your data journey and help you unlock the full value of your data across AWS services.
- To learn more, refer to Amazon SageMaker Unified Studio.
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