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 →

Keywords:  


Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]

The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark… Read more →

Keywords:  


The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure

Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed,… Read more →

Keywords:  


Graph Algorithms in Neo4j: Closeness Centrality

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 →

Keywords:  


Graph Algorithms in Neo4j: Betweenness Centrality

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 →

Keywords:  


Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan

“One thing that a relational database isn’t, is relational ,” said Frederick Kagan, Director of the Critical Threats Project at the American Enterprise Institute. All intelligence organizations are interested in seeing data connections and traversing networks. The Critical Threats Project… Read more →

Keywords:  


Large-Scale Real-Time Recommendations with Neo4j

Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →

Keywords:  


Graph Algorithms in Neo4j: Degree Centrality

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 →

Keywords:  


Graph Algorithms in Neo4j: PageRank

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 →

Keywords:  


Apache Spark + Cypher: We Need Your Feedback & Votes

Editor’s Note: Alastair Green (Neo4j Query Languages Lead) and Martin Junghanns (Neo4j Cypher for Apache Spark project) will be speaking at the Spark + AI Summit in San Francisco this April. Want to Extend the Graph Capabilities of Spark? Let’s… Read more →

Keywords:  


Graph Algorithms in Neo4j: Minimum Weight Spanning Tree

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 →

Keywords:  


This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph

We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →

Keywords:  


Mastering Highly Distributed Architecture

Editor’s Note: This presentation was given by Thomas Lawrence at GraphConnect New York in October 2017. Presentation Summary Amadeus is one of the largest software companies in the world. The following post explores how the company built their YAC visualizer,… Read more →

Keywords:  


Graph Algorithms in Neo4j: All Pairs Shortest Path

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 →

Keywords:  


This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs

Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →

Keywords:  


The Top 10 Neo4j Videos of 2018

Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →

Keywords:  


7 Seriously Awesome Neo4j Blogs from 2018

We all know no one really reads these intros to year-end listicles, so we’ll keep it brief and just say this: thank you to you for reading. We are incredibly grateful to everyone who has visited the Neo4j blog in… Read more →

Keywords:  


KeneteK & LARUS Announce a New Graph Partnership

In 2018, it’s been estimated that 80% of financial transactions still pass through a mainframe application, and in most enterprises, a mainframe app is still the center of most data propagation. This stat alone means companies struggle to find a… Read more →

Keywords:  


Announcing the Neo4j GraphTour in 8+ Cities Worldwide

Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →

Keywords:  


Graph Databases for Beginners: Native vs. Non-Native Graph Technology

It’s a common figure of speech: “Jack of all trades, master of none.” The heart behind the phrase is that if you’re trying to be good at everything, you normally end up being sort of mediocre at a large number… Read more →

Keywords:  


Graph Algorithms in Neo4j: Single Source Shortest Path

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 →

Keywords:  


This Week in Neo4j – Crime Investigation Sandbox, GraphQL to Cypher transpiler for the JVM, Exploring Yelp with Graph Algorithms

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation… Read more →

Keywords:  


The Evolution and Future of Graph Technology: Intelligent Systems

The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →

Keywords:  


Graph Algorithms in Neo4j: Shortest Path

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 →

Keywords:  


#GraphCast: Graph Algorithms & Game of Thrones

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael… Read more →

Keywords:  


Subscribe

Have a Graph Question?

Stack Overflow
Community Forums
Contact Us

Share your Graph Story?

Email us: content@neo4j.com


Archives