This Week in Neo4j – Time Based Graph Versioning, Pearson Coefficient, Neo4j Multi DC, Modeling Provenance
By Mark Needham
February 16, 2019|Reading time: 3 minutes
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: digital transformation • DXC • graph technology • graph versioning • Knowledge Graph • knowledge graphs • Marvel Universe • multi-data center • pearson similarity • twin4j
Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]
By Bryce Merkl Sasaki
February 15, 2019|Reading time: 4 minutes
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: apache spark • cypher • data integration • data science • graph algorithms • Graph Analytics • graph query language • Oracle • RDF • W3C
The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure
By Jocelyn Hoppa
February 13, 2019|Reading time: 4 minutes
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: AWS • deployment automation • DevOps • graph visualization • graphconnect • infrastructure mapping • LendingClub • Mercator • microservices • neo4j
Graph Algorithms in Neo4j: Closeness Centrality
By Jocelyn Hoppa
February 11, 2019|Reading time: 4 minutes
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: centrality algorithms • closeness centrality • cypher • graph algorithms • Graph Analytics • graph database • Graph Search • intelligent solutions • neo4j • shortest paths
Graph Algorithms in Neo4j: Betweenness Centrality
By Jocelyn Hoppa
February 4, 2019|Reading time: 5 minutes
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: betweenness centrality • centrality algorithms • cypher • Genomics • graph algorithms • Graph Analytics • Graph Search • shortest paths
Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan
By Jocelyn Hoppa
February 1, 2019|Reading time: 6 minutes
“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: 5-minute interview • cypher • Frederick Kagan • graph technology • Intelligence • intelligence analytical systems • ontologies • python • relational database • sql • unstructured data
Large-Scale Real-Time Recommendations with Neo4j
By Jocelyn Hoppa
January 30, 2019|Reading time: 7 minutes
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: cypher • dynamic queue • engagement platform • event recommendations • graphconnect • MySQL • native graph database • real-time recommendations • relational database
Graph Algorithms in Neo4j: Degree Centrality
By Jocelyn Hoppa
January 28, 2019|Reading time: 3 minutes
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: centrality algorithms • cypher • Degree Centrality • graph algorithms • Graph Analytics • graph database • Graph Search • PageRank • pathfinding • social network
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019|Reading time: 4 minutes
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: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
Apache Spark + Cypher: We Need Your Feedback & Votes
By Bryce Merkl Sasaki
January 18, 2019|Reading time: 2 minutes
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: apache spark • cypher • Cypher for Apache Spark • Databricks • GQL • graph algorithms • graph query language • GraphFrames • spark • Spark + AI Summit
Graph Algorithms in Neo4j: Minimum Weight Spanning Tree
By Jocelyn Hoppa
January 14, 2019|Reading time: 4 minutes
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: cypher • graph algorithms • Graph Analytics • graph database • Graph Search • Minimum Weight Spanning Tree • neo4j • pathfinding • telecom
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
By Mark Needham
January 12, 2019|Reading time: 4 minutes
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: amazon alexa • dimensionality reduction • graph algorithms • graph layout • Halin • Knowledge Graph • machine learning • Marvel Universe • monitoring • twin4j
Mastering Highly Distributed Architecture
By Jocelyn Hoppa
January 9, 2019|Reading time: 12 minutes
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: amadeus • data architecture • data cartography • GDPR • GDPR Compliance • graph database • graph visualization • graphconnect • Keylines • neo4j
Graph Algorithms in Neo4j: All Pairs Shortest Path
By Jocelyn Hoppa
January 7, 2019|Reading time: 3 minutes
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: All Pairs Shortest Path • call routing • cypher • disease spread • graph algorithms • Graph Analytics • Graph Search • neo4j • network failure • pathfinding
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019|Reading time: 3 minutes
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: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018|Reading time: 3 minutes
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: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
7 Seriously Awesome Neo4j Blogs from 2018
By Jocelyn Hoppa
December 26, 2018|Reading time: 4 minutes
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: cypher • Graph Algorithm • Graph Databases • graph technology • microservices • neo4j • Neo4j Community • open data • Russian Twitter trolls • textual data
KeneteK & LARUS Announce a New Graph Partnership
By Jocelyn Hoppa
December 20, 2018|Reading time: 6 minutes
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: cypher • data propagation • digital transformation • grad model • Graph Databases • KeneteK • Larus • mainframe application • master data • neo4j
Announcing the Neo4j GraphTour in 8+ Cities Worldwide
By Bryce Merkl Sasaki
December 19, 2018|Reading time: 3 minutes
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: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community
Graph Databases for Beginners: Native vs. Non-Native Graph Technology
By Bryce Merkl Sasaki
December 18, 2018|Reading time: 8 minutes
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: Cassandra • database architecture • graph database • graph processing • graph storage • graph technology • index free adjacency • MySQL • native graph database • native graph technology
Graph Algorithms in Neo4j: Single Source Shortest Path
By Jocelyn Hoppa
December 17, 2018|Reading time: 3 minutes
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: cypher • Dijkstra's algorithm • graph algorithms • Graph Analytics • Graph Search • Open Shortest Path First • pathfinding • shortest path • Single Source Shortest Path • telecom
This Week in Neo4j – Crime Investigation Sandbox, GraphQL to Cypher transpiler for the JVM, Exploring Yelp with Graph Algorithms
By Mark Needham
December 15, 2018|Reading time: 4 minutes
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: cypher • GRANDstack • graph algorithms • graph modeling • GraphQL • jaccard • Neo4j Community • POLE • stackoverflow • twin4j
The Evolution and Future of Graph Technology: Intelligent Systems
By Jocelyn Hoppa
December 14, 2018|Reading time: 5 minutes
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: ai • big data solution • GQL • graph database • graph query language • graph technology • Intelligent Systems • ML • neo4j • nlp • sql
Graph Algorithms in Neo4j: Shortest Path
By Jocelyn Hoppa
December 10, 2018|Reading time: 3 minutes
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: cypher • Dijkstra's algorithm • Google Maps • graph algorithms • Graph Analytics • Graph Search • pathfinding • shortest path • Social Networks • web mapping tools
#GraphCast: Graph Algorithms & Game of Thrones
By Jocelyn Hoppa
December 9, 2018|Reading time: 1 minute
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: data analysis • Game of Thrones • graph algorithms • graph database • GraphCast
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