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 →
Keywords: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
#GraphCast: You Know We Have an Online Meetup, Right? [Also, Salmon]
By Bryce Merkl Sasaki
February 17, 2019|Reading time: 2 minutes
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 →
Keywords: environmental sciences • GraphCast • International Salmon Data Laboratory • International Year of the Salmon • ISDL • IYS • Neo4j Online Meetup
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
Host an Event (Big or Small) with Us for Global Graph Celebration Day
By Jocelyn Hoppa
February 14, 2019|Reading time: 4 minutes
We’re inviting our global community to join us on April 15, 2019 to celebrate the birth of the inventor of graph theory! On this day, we invite all our Neo4j community members around the globe in help us lead this… Read more →
Keywords: Global Graph Celebration Day • Graph Databases • Graph Theory • Leonard Euler • Neo4j Community • Seven Bridges of Königsberg
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
#GraphCast: Fake News Edition
By Jocelyn Hoppa
February 10, 2019|Reading time: 2 minutes
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →
Keywords: fake news • graph database • GraphCast • machine learning • NBC News • neo4j • open sourced data • russian trolls • twitter
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
By Jocelyn Hoppa
February 8, 2019|Reading time: 4 minutes
“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →
Keywords: 5-minute interview • data science • DeepWalk • Dr. Steven Skiena • graph algorithms • graph embedding • machine learning • Social Networks • Stony Brook University • word2vec
Leveraging Data Science Tools for Fraud Investigation
By Jocelyn Hoppa
February 6, 2019|Reading time: 13 minutes
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →
Keywords: Big Data • data science • fraud • Graph Visualizations • graphconnect • machine learning • natural language processing • predictive analytics • private investigator • structured data
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
Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]
By Jocelyn Hoppa
January 31, 2019|Reading time: 1 minute
Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit… Read more →
Keywords: financial regulations • Graph Analytics • graph database • graph technology • neo4j • risk compliance • risk management • risk management platform • risk reporting • siloed 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
Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera
By Jocelyn Hoppa
January 25, 2019|Reading time: 4 minutes
“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →
Keywords: 5-minute interview • ai • artificial intelligence • Cloudera • data science • graph technology • Hilary Mason • machine learning • machine learning analysis • neo4j
Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe
By Jocelyn Hoppa
January 23, 2019|Reading time: 2 minutes
Editor’s Note: This presentation was given by David Fox at GraphConnect New York in September, 2018. Presentation Summary Adobe’s Behance, a platform that allows people to showcase and discover creative work in a social media-type setting, was relying on a… Read more →
Keywords: activity feed • Adobe • Adobe Creative Cloud • Behance • Cassandra • Causal Clustering • dark launch • graphconnect • Legacy Systems • social feed
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
#GraphCast: Emil Eifrem on the Exponential View podcast with Azeem Azhar
By Bryce Merkl Sasaki
January 20, 2019|Reading time: 1 minute
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 the similarities between the choose-your-own-adventure movie, Black Mirror: Bandersnatch and running… Read more →
Keywords: Azeem Azhar • data journalism • Data Relationships • emil eifrem • Exponential View • graph technology • GraphCast • icij • international consortium of investigative journalists • Panama Papers
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
A Journey to the Graph Side: How (& Why) the Former CTO of MariaDB Joined Neo4j [Interview]
By Bryce Merkl Sasaki
January 15, 2019|Reading time: 7 minutes
If you don’t know anything about MariaDB – and you’re reading a database blog remember – then you’re the exception. In 2018, MariaDB was the second-fastest-growing relational database (behind Postgres) and is a leading example of commercially supported open source… Read more →
Keywords: 5-minute interview • cto • graph algorithms • graph database • graph technology • MariaDB • MySQL • neo4j • open source • rdbms • relational database
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
Social Power, Operational Ease: 5-Minute Interview with David Fox, Software Engineer at Adobe
By Jocelyn Hoppa
January 11, 2019|Reading time: 3 minutes
“We were able to go from 48 Cassandra instances to three Neo4j instances. Going into the project, we weren’t sure whether that was going to be possible,” said David Fox, Software Engineer at Adobe. Adobe runs Behance, a social network… Read more →
Keywords: 5-minute interview • activity feed • Adobe • Behance • Cassandra • David Fox • Graph Databases • machine learning • Neo4j Community • social network
Next-Gen Master Data Management Runs at the Speed of Now [Infographic]
By Jocelyn Hoppa
January 10, 2019|Reading time: 1 minute
Having a lot of data to mine from is a truly beautiful thing. But many businesses today struggle with data – especially as it grows and becomes more complex – that’s stored in different data repositories, not to mention different… Read more →
Keywords: data connections • data repositories • disconnected data • graph technology • Master Data Management
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