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A social networking company is building a aws video

 ·  PT1H46M27S  ·  EN

data-engineer video for a social networking company is building a recommendation engine based on its user relationship data, which follows a graph structure.

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A social networking company is building a recommendation engine based on its user relationship data, which follows a graph structure. The company has chosen Amazon Neptune for storing and querying this data. The system must handle frequent updates as users add friends, likes, and followers. The company also needs to perform real-time queries such as find mutual friends or suggest friends of friends. What is the most effective approach to scale Amazon Neptune for this use case?