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Check out highlights of Chapter 1.

Introducing Graph Databases For Dummies

Graph databases are the fastest growing database technology. Some people are drawn to graph databases for technical or performance reasons; others become interested because of the intuitive data model. One thing is clear: Graphs represent a departure from the relational and NoSQL models, but... read more

This Week in Neo4j – Empowering Cities with Data and Knowledge Graphs, Restaurant Recommendation Engine, Graph Databases For Dummies

Hi graph gang, Last week we hosted the Graphs in Government version of Connections, a series of online events that replaced GraphConnect 2020. There were lots of interesting presentations, but my favourite one was by Jussi Vira and Tuomas Piippo, who explained how to build a smart city... read more


Predicting Fraud: 5-Minute Interview with Marius Hartmann

"There's a risk that your fraud detection becomes anecdotal because you become accustomed to certain addresses or names. You risk emphasizing the small-time fraudsters instead of the clever ones. The clever ones are the ones that don't usually get caught," said Marius Hartmann, Chief Advisor,... read more



Combating Money Laundering: Graph Data Visualizations

Money laundering is among the hardest activities to detect in the world of financial crime. Funds move in plain sight through standard financial instruments, transactions, intermediaries, legal entities and institutions – avoiding detection by banks and law enforcement. The costs in regulatory... read more


This Week in Neo4j – Getting started with Neo4j, Gatsby, and GraphQL, Slack Knowledge Graph, Changes in direction with the Traversal API

Hi graph gang, In this week’s video, Will Lyon shows us how to get started with Neo4j, Gatsby, and GraphQL. Max De Marzi shows how to solve a tricky problem using the Traversal API, Adam Cowley builds a Knowledge Graph from Slack archives, and M. David Allen published... read more