Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker is now available

Amazon Aurora PostgreSQL-Compatible Edition now supports zero-ETL integration with [Amazon SageMake](https://aws.amazon.com/sagemaker/lakehouse/)r, enabling near real-time data availability for analytics workloads. This integration automatically extracts and loads data from PostgreSQL tables into your lakehouse where it's immediately accessible through various analytics engines and machine learning tools. The data synced into the lakehouse is compatible with Apache Iceberg open standards, enabling you to use your preferred analytics tools and query engines such as SQL, Apache Spark, BI, and AI/ML tools. Through a simple no-code interface, you can create and maintain an up-to-date replica of your PostgreSQL data in your lakehouse without impacting production workloads. The integration features comprehensive, fine-grained access controls that are consistently enforced across all analytics tools and engines, ensuring secure data sharing throughout your organization. As a complement to the existing zero-ETL integrations with Amazon Redshift, this solution reduces operational complexity while enabling you to derive immediate insights from your operational data. Amazon Aurora PostgreSQL zero-ETL integration with Amazon SageMaker is now available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Canada (Central), South America (Sao Paulo), Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Frankfurt), Europe (Ireland), Europe (London), and Europe (Stockholm) AWS Regions. To learn more, visit [What is zero-ETL](https://aws.amazon.com/what-is/zero-etl/). To begin using this new integration, visit the zero-ETL documentation for [Aurora PostgreSQL](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/zero-etl.html).