Brad Bebee

In this session, learn about new Amazon Neptune capabilities for high-performance graph analytics and queries over data lakes to unlock the implicit and explicit relationships in your data, driving more accurate, trustworthy generative AI responses.

With an innovative architecture, a broad choice of graph data models and query languages, and advanced features like Amazon Neptune Serverless, global databases, low-latency read replicas, and in-memory graph computing, Amazon Neptune makes it easier to obtain connected data insights for use cases like knowledge…

Learn what’s new with Amazon Neptune, the fully managed graph database service that can store, map, and query relationships between datasets for use in applications like identity and fraud detection.

With the launch of Amazon Neptune Serverless, graph database workloads can automatically scale from one query to hundreds of thousands of queries. In this deep-dive session, discover how serverless addresses not only workloads with sudden spikes but also those that are unpredictable while providing customers up to 90 percent cost savings compared to provisioning for peak capacity.

Security is a complex domain because it has many layers to understand and vectors to consider. Graphs simplify the navigation of relationships between different assets and the layers protecting them.

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. In this technical session for all users of Amazon Neptune, take a deep dive into the architecture of the service, query languages, and features supported and hear about the popular use cases of Neptune.