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Large Scale Online Graph on Aerospike at PayPal Risk

Talkat QCon Shanghai 2019 · 2019-10-17..10-19· [databases, machine-learning]
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Covers PayPal Risk’s use of Aerospike as a NoSQL store to manage petabyte-scale, real-time data for fraud detection, and how they combine Aerospike with Gremlin to build and query an online graph of over 50 billion vertices and edges with low-latency performance. Describes applying graph-linking analytics and AI models on that real-time graph to improve risk and fraud management.

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