Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse automates the extracting and loading of data from a DynamoDB table into SageMaker Lakehouse, an open and secure lakehouse. You can run analytics and machine learning workloads on your DynamoDB data using SageMaker Lakehouse, without impacting production workloads running on DynamoDB. With this launch, you now have the option to enable analytics workloads using SageMaker Lakehouse, in addition to the previously available Amazon OpenSearch Service and Amazon Redshift zero-ETL integrations.
Using the no-code interface, you can maintain an up-to-date replica of your DynamoDB data in the data lake by quickly setting up your integration to handle the complete process of replicating data and updating records. This zero-ETL integration reduces the complexity and operational burden of data replication to let you focus on deriving insights from your data. You can create and manage integrations using the AWS Management Console, the AWS Command Line Interface (AWS CLI), or the SageMaker Lakehouse APIs.
DynamoDB zero-ETL integration with SageMaker Lakehouse is now available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Stockholm), Europe (Frankfurt), and Europe (Ireland) AWS Regions.
To learn more, visit DynamoDB integrations and read the documentation.
Source:: Amazon AWS