AWS AmazonRDS documentation change
Summary
Corrected product name from 'Quick Suite' to 'Quick' in the zero-ETL integration documentation.
Security assessment
Minor editorial correction with no security implications or references to security features.
Diff
diff --git a/AmazonRDS/latest/AuroraUserGuide/zero-etl.md b/AmazonRDS/latest/AuroraUserGuide/zero-etl.md index b2bb94595..e2c67ebb5 100644 --- a//AmazonRDS/latest/AuroraUserGuide/zero-etl.md +++ b//AmazonRDS/latest/AuroraUserGuide/zero-etl.md @@ -11 +11 @@ An Aurora zero-ETL integration with Amazon Redshift and Amazon SageMaker AI enab -A zero-ETL integration makes the data in your Aurora DB cluster available in Amazon Redshift or an Amazon SageMaker AI lakehouse in near real-time. Once that data is in the target data warehouse or data lake, you can power your analytics, ML, and AI workloads using the built-in capabilities, such as machine learning, materialized views, data sharing, federated access to multiple data stores and data lakes, and integrations with Amazon SageMaker AI, Quick Suite, and other AWS services. +A zero-ETL integration makes the data in your Aurora DB cluster available in Amazon Redshift or an Amazon SageMaker AI lakehouse in near real-time. Once that data is in the target data warehouse or data lake, you can power your analytics, ML, and AI workloads using the built-in capabilities, such as machine learning, materialized views, data sharing, federated access to multiple data stores and data lakes, and integrations with Amazon SageMaker AI, Quick, and other AWS services.