Getting a graph database to be performant and easy to use is very different from making a NoSQL (non-relational) database high-performing. Listen in as Todd Escalona of AWS talks with Marc Wangenheim, Senior Engineering Manager at Nike, about how the company powers a number of applications via a social graph, built on Amazon Neptune, that effectively maps millions of relationships among its users. They take a closer look at the underlying property graph that represents highly connected data, which allows users to select their interests such as basketball or training. These interest selections then drive personalized recommendations and curated content for consumers, based on entries in their graph.

 

Learn more about Amazon Neptune.

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from AWS Architecture Blog: https://aws.amazon.com/blogs/architecture/nike-a-social-graph-at-scale-with-amazon-neptune/