Graph DB + Data Virtualization = Live dashboard for fraud analysis

The scenario Retail banking: Your graph-based fraud detection system powered by Neo4j is being used as part of the controls run when processing line of credit applications or when accounts are provisioned. It’s job is to block -or at least to flag- potentially fraudulent submissions as they come into your systems. It’s also sending alarms to fraud operations analysts […]

Neo4j is your RDF store (part 1)

If you want to understand the differences and similarities between RDF and the Labeled Property Graph implemented by Neo4j, I’d recommend you watch this talk I gave at Graph Connect San Francisco in October 2016. Intro Let me start with some basics: RDF is a standard for data exchange, but it does not impose any particular way […]