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Advanced features of Amazon Aurora PostgreSQL (Part 1)

*This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact [AWS Training and Certification Customer Support.*](https://support.aws.amazon.com/#/contacts/aws-training) This digital course explores the key features and capabilities of Amazon Aurora PostgreSQL database. The course covers the underlying architecture of Aurora, including its unique storage system and data management strategies. It also examines Aurora's performance optimization techniques, such as Query Plan Management, Cluster Cache Management, I/O optimization, and specialized read optimizations. Additionally, the course explores Aurora's prefetching mechanisms, which help improve query responsiveness. By the end of this course, learners will have a deep understanding of how to leverage Aurora PostgreSQL's advanced features to build and operate high-performing, scalable database solutions in the cloud.

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Created by AWS

Last Updated Feb 10, 2026

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  • Course

Advanced features of Amazon Aurora PostgreSQL (Part 1)

*This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact [AWS Training and Certification Customer Support.*](https://support.aws.amazon.com/#/contacts/aws-training) This digital course explores the key features and capabilities of Amazon Aurora PostgreSQL database. The course covers the underlying architecture of Aurora, including its unique storage system and data management strategies. It also examines Aurora's performance optimization techniques, such as Query Plan Management, Cluster Cache Management, I/O optimization, and specialized read optimizations. Additionally, the course explores Aurora's prefetching mechanisms, which help improve query responsiveness. By the end of this course, learners will have a deep understanding of how to leverage Aurora PostgreSQL's advanced features to build and operate high-performing, scalable database solutions in the cloud.

Advanced

Created by AWS

Last Updated Feb 10, 2026

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*This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact AWS Training and Certification Customer Support.*

This digital course explores the key features and capabilities of Amazon Aurora PostgreSQL database. The course covers the underlying architecture of Aurora, including its unique storage system and data management strategies. It also examines Aurora's performance optimization techniques, such as Query Plan Management, Cluster Cache Management, I/O optimization, and specialized read optimizations. Additionally, the course explores Aurora's prefetching mechanisms, which help improve query responsiveness. By the end of this course, learners will have a deep understanding of how to leverage Aurora PostgreSQL's advanced features to build and operate high-performing, scalable database solutions in the cloud.

Advanced features of Amazon Aurora PostgreSQL (Part 1)
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AWS - Pluralsight course - Advanced features of Amazon Aurora PostgreSQL (Part 1)
AWS
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