Check Out the Newly Revamped Intro to Neo4j Online Training Course

In less than a day, you could become a graphista. Because we believe that graph databases are the future of backend software development, we wanted to make it easier and simpler than ever to get started on your graph journey.… Read more →

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Graph Algorithms in Neo4j: Weakly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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This Week in Neo4j – Automate Neo4j Deploys on AWS and GCP, BBC GoodFood Graph Online Meetup, APOC Winter Release and Documentation Refresh

It’s been another fun week in the world of Neo4j, the highlight of my week being the online meetup where Lju and I had a great time showing off the BBC GoodFood graph that we’ve been working on. There were… Read more →

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Simplifying Identity Management: 5-Minute Interview with Alex Babeanu

“We’ve tried using LDAP. We’ve tried using SQL databases. It’s just a nightmare to be honest,” said Alex Babeanu, Identity Solutions Architect at Nulli. With smartphones, online services, smart devices, the number of identities that must be managed is exploding,… Read more →

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Vampire Express: Graphing a Classic ’80s Choose Your Own Adventure Story

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

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Mapping Ontologies in Graphs for Personalization

Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016. Presentation Summary Gousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to… Read more →

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Graph Algorithms in Neo4j: Strongly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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#GraphCast: You Know We Have an Online Meetup, Right? [Also, Salmon]

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted a two-part series of how Neo4j and machine learning help human… Read more →

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This Week in Neo4j – Time Based Graph Versioning, Pearson Coefficient, Neo4j Multi DC, Modeling Provenance

Welcome to This Week in Neo4j, where we round up the last week in the world of graph databases. This week our Chief Scientist Dr Jim Webber describes how to run Neo4j in a Multi Data Center Environment, Max De… Read more →

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