Real-Time Data Lineage at UBS
By Jocelyn Hoppa
April 11, 2019|Reading time: 13 minutes
Editor’s Note: This presentation was given by Wren Chan and Sidharth Goyal at GraphConnect New York in October 2017. Presentation Summary UBS set out to create a real-time data lineage tool in response to the new BCBS 239 regulations, which… Read more →
Explore: APOC • BCBS 239 • cypher • data governance • data lineage generation • graph transformation • graphconnect • Group Data Dictionary • real-time data lineage • UBS
Graph Algorithms in Neo4j: Graph Algorithms in Practice
By Jocelyn Hoppa
April 8, 2019|Reading time: 5 minutes
Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →
Explore: APOC • cypher • graph algorithms • Graph Analytics • graph model • importing data • neo4j • PageRank • real-time recommendations • yelp
Applying Graphs to Enterprise Media Asset Management
By Jocelyn Hoppa
March 28, 2019|Reading time: 8 minutes
Editor’s Note: This presentation was given by Brant Boehmann and Chris Goodacre at GraphConnect New York in October 2017. Presentation Summary Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for… Read more →
Explore: AWS • cypher • digital asset management • enterprise media asset management • graph database • graphconnect • LDAP • nosql • Scripps Networks Interactive
Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient
By Jocelyn Hoppa
March 25, 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 →
Explore: Clustering Coefficient • community detection algorithms • cypher • global clustering • graph algorithms • Graph Analytics • intelligent solutions • local clustering • Louvain Modularity • Triangle Count
Exploring Inherent Connections: 5-Minute Interview with Dr. Alexander Jarasch
By Jocelyn Hoppa
March 22, 2019|Reading time: 2 minutes
“When I saw Neo4j the first time, I was overwhelmed by how easy it is to connect different types of data,” said Dr. Alexander Jarasch, Head of Data and Knowledge Management at the German Center for Diabetes Research. Diabetes is… Read more →
Explore: 5-minute interview • Connected Data • cypher • data model • Diabetes Research • Dr. Alexander Jarasch • graph database • graph technology • Knowledge Graph • neo4j
The Future of Data Visualization
By Jocelyn Hoppa
March 20, 2019|Reading time: 6 minutes
Editor’s Note: This presentation was given by Brendan Madden at GraphConnect New York in October 2017. Presentation Summary Tom Sawyer Software is a graph data visualization tool that was founded long before graph databases first hit the market. But with… Read more →
Explore: Big Data • cypher • data integration • data synchronization • Data Visualization • graph visualization • graphconnect • property graph • tom sawyer
Graph Algorithms in Neo4j: Louvain Modularity
By Jocelyn Hoppa
March 18, 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 →
Explore: community detection algorithms • cypher • detecting communities • fraud analytics • graph algorithms • Graph Analytics • intelligent solutions • Louvain Modularity • neo4j • Social Networks
Neo4j Joins GraphQL Foundation as a Founding Member
By Jocelyn Hoppa
March 12, 2019|Reading time: 4 minutes
Neo4j is excited to share that we have joined the GraphQL Foundation as one of the founding members to support the evolution of GraphQL as it continues to become a standard for building APIs. You can learn more about the… Read more →
Explore: API • application data • cypher • fullstack applications • GRANDstack • graph database • GraphQL • GraphQL Foundation • javascript • neo4j • rest
Graph V-Day (Graph Visualization Day) Recap
By Jocelyn Hoppa
March 10, 2019|Reading time: 9 minutes
In light of February’s holiday of love (Valentine’s Day), we asked our community to share the graph visualizations they loved the most. Valentine’s Day became Graph Visualization Day! The response was incredible and the data visualizations were truly remarkable, and… Read more →
Explore: cypher • Data Visualization • digital transformation • Graph Databases • graph visualization day • neo4j • Neo4j Bloom
Graph Algorithms in Neo4j: Label Propagation
By Jocelyn Hoppa
March 4, 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 →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • graph database • Knowledge Graph • label propagation • large-scale networks • neo4j
Check Out the Newly Revamped Intro to Neo4j Online Training Course
By Jocelyn Hoppa
February 28, 2019|Reading time: 3 minutes
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 →
Explore: cypher • getting started with neo4j • graph database • import CSV • neo4j certification • Neo4j Desktop • Neo4j sandbox • neo4j training • Neo4j training course • property graph model
Graph Algorithms in Neo4j: Weakly Connected Components
By Jocelyn Hoppa
February 25, 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 →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • intelligent solutions • Master Data Management • union-find • Weakly Connected Components
Simplifying Identity Management: 5-Minute Interview with Alex Babeanu
By Jocelyn Hoppa
February 22, 2019|Reading time: 3 minutes
“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 →
Explore: 5-minute interview • access management • ai • Alex Babeanu • cypher • graph database • identity management • IoT • neo4j • SQL databases
Vampire Express: Graphing a Classic ’80s Choose Your Own Adventure Story
By Jocelyn Hoppa
February 21, 2019|Reading time: 5 minutes
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 →
Explore: choose your own adventure • cypher • data model • Graph Databases • graph model • metagraph • neo4j • pathfinding • vampire express
Graph Algorithms in Neo4j: Strongly Connected Components
By Jocelyn Hoppa
February 18, 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 →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
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 →
Explore: apache spark • cypher • data integration • data science • graph algorithms • Graph Analytics • graph query language • Oracle • RDF • W3C
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 →
Explore: 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 →
Explore: 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 →
Explore: 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 →
Explore: 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 →
Explore: 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 →
Explore: 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 →
Explore: 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 →
Explore: cypher • graph algorithms • Graph Analytics • graph database • Graph Search • Minimum Weight Spanning Tree • neo4j • pathfinding • telecom
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 →
Explore: All Pairs Shortest Path • call routing • cypher • disease spread • graph algorithms • Graph Analytics • Graph Search • neo4j • network failure • pathfinding
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