In this episode, we explore Amazon Neptune, AWS’s fully managed graph database service designed for building and running applications that work with highly connected datasets. Neptune supports two popular graph models: Property Graph and RDF (Resource Description Framework), which makes it suitable for use cases like social networks, recommendation engines, fraud detection, and knowledge graphs. We’ll guide you through how to create a Neptune cluster, configure it for high availability, and load data from various sources. By the end of this episode, you’ll understand the basics of graph databases and how to use Amazon Neptune to analyze relationships within your data at scale.

We’ll also cover how to optimize queries for performance, configure access control, and integrate Neptune with other AWS services like Amazon S3 for data storage and AWS Lambda for event-driven processing. With its support for fast graph traversal queries, Neptune is ideal for applications that require real-time querying of connected data. By the end of this episode, you’ll have the knowledge to implement Amazon Neptune for applications that rely on graph data structures. Produced by BareMetalCyber.com, your trusted resource for expert-driven cybersecurity education.