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Past presentations
Enhancing OLTP Systems with pgvector: Best Practices in Database Design
Generative AI and PostgreSQL
The integration of pgvector into existing Online Transaction Processing (OLTP) systems represents a significant advancement in leveraging vector search capabilities within traditional database environments. This presentation is designed to educate database professionals on the thoughtful integration of pgvector into OLTP applications powered by PostgreSQL, ensuring enhanced functionalities with...
Using aws_ml/aws_comprehend in Aurora PostgreSQL
Using aws_ml/aws_comprehend in Aurora PostgreSQL
Amazon Aurora machine learning enables you to add ML-based predictions to applications via the familiar SQL programming language, so you don't need to learn separate tools or have prior machine learning experience. It provides simple, optimized, and secure integration between Aurora and AWS ML services without having to build custom integrations or move data around. In this session, learn more ...
Developing Event Driven Serverless applications using RDS/Aurora PostgreSQL
Improve throughput, scale and extensibility using Micro services and RDS/Aurora PostgreSQL
Applications designed with even-driven architecture (EDA) provide increased availability, elasticity, scalability and cost optimization and promotes micro-services, which are small, specialized services performing a narrow set of functions. Event-driven architecture (EDA) is a software architecture paradigm promoting the production, detection, consumption of, and reaction to events. Event-drive...