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This talk examines graph databases and Neo4j with a use-case driven approach. First, we look at some property graph model examples, taken from real-world datasets. Next we discuss converting a relational model to graph, using the canonical Northwind example. Finally, we dive into Fraud Detection and Personalized Recommendation examples, learning about Neo4j developer tooling as we explore these use cases.