Powering Recommendations with a Graph Database: A Rapid Retail Example
By Jocelyn Hoppa
September 3, 2018|
Reading time: 5 minutes
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 →
Keywords: cypher • entity-relationship diagram • facebook • graph database • graph technology • neo4j • real-time recommendations • Recommendations • Retail Recommendations • schema
Dependency Management with Neo4j at the Royal Bank of Scotland
By Bryce Merkl Sasaki
July 13, 2016|
Reading time: 6 minutes
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 →
Keywords: dependency management • entity-relationship diagram • graphconnect • microservice • RBS • regression testing • Royal Bank of Scotland • sql • UAT • user acceptance testing
RDBMS & Graphs: Relational vs. Graph Data Modeling
By Bryce Merkl Sasaki
February 29, 2016|
Reading time: 11 minutes
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 →
Keywords: ACID • data center • data modeling • denormalization • entity-relationship diagram • foreign key • graph database • rdbms • relational database • sql
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