Powering Recommendations with a Graph Database: A Rapid Retail Example

It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →

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Dependency Management with Neo4j at the Royal Bank of Scotland

Editor’s Note: This presentation was given by Stelios Gergiannakis at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The legacy deployment process at RBS Challenges with integration in dependency management Why the RBS team chose… Read more →

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RDBMS & Graphs: Relational vs. Graph Data Modeling

In some regards, graph databases are like the next generation of relational databases, but with first class support for “relationships,” or those implicit connections indicated via foreign keys in traditional relational databases. Each node (entity or attribute) in a native… Read more →

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