Nike: A Social Graph at Scale with Amazon Neptune

Опубликовано 23 января 2020, 20:46

Getting a graph database to be performant and easy to use is very different than making a NoSQL database high-performing. In this episode we talk about how Nike powers a number of applications via a social graph, built on Amazon Neptune, that effectively maps millions of relationships between its users. We 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.

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