#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
Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018|Reading time: 4 minutes
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Keywords: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
Why 20 Women Gathering in the Swedish Mountains Might Just Change the World
By Jocelyn Hoppa
July 26, 2018|Reading time: 5 minutes
As a Swedish Generation Xer, I was brought up in the spirit that men and women were created equal, and that gender differences were a social construct that was out of fashion. In Senior High, my technology teacher warned us… Read more →
Keywords: computer science • cypher • data analysis • data science • data science camp • female engineer • Graph Databases • pink programming • search engines • statistical models
Don’t Choose One Database… Choose Them All!
By Jocelyn Hoppa
July 19, 2018|Reading time: 14 minutes
Editor’s Note: This presentation was given by Dave da Silva at GraphConnect Europe in May 2017. Presentation Summary Capgemini, a global leader in consulting, technology and outsourcing services, believes that using multiple databases improves your ability to unlock the business… Read more →
Keywords: APIs • cypher • data analysis • database technology • graph database • graphconnect • machine learning • nosql • relational database • SQL databases
Getting Started with Data Analysis using Neo4j [Community Post]
By Bryce Merkl Sasaki
February 1, 2018|Reading time: 7 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Why Are We Doing This? Data analysis is the phenomenon of dissecting, structuring and understanding data.… Read more →
Keywords: APOC • cypher • data analysis • data integrity • Issuu • json • Neo4j Desktop • Neo4j documentation • nosql • user-defined procedures
Accelerating Scientific Research through Machine Learning and Graphs
By Joy Chao
May 22, 2017|Reading time: 15 minutes
Editor’s Note: This presentation was given by Jorge Soto and Antonio Molins at GraphConnect San Francisco in October 2016. Here’s a quick review of what they covered: Introduction to the role of microRNA Monitoring microRNAs Applying the method to stomach… Read more →
Keywords: breast cancer • data analysis • graphconnect • Hadoop • Hive • machine learning • microfluidics • microRNA • natural language processing • stomach cancer
The 5-Minute Interview: Mar Cabra, Editor at the ICIJ
By Bryce Merkl Sasaki
June 24, 2016|Reading time: 7 minutes
For this week’s 5-Minute Interview, I sat down with Mar Cabra, the Data & Research Unit Editor at the International Consortium of Investigative Journalists (ICIJ). I caught up with Mar at GraphConnect Europe after her standing-room-only keynote: “How the ICIJ… Read more →
Keywords: 5-minute interview • data analysis • ETL tool • fraud detection • graph visualization • graphconnect • icij • Linkurious • Mossack Fonseca • Panama Papers
The Panama Papers: Why It Couldn’t Have Happened Ten Years Ago
By Bryce Merkl Sasaki
April 6, 2016|Reading time: 3 minutes
Members of the global elite (and everyone else) witnessed first-hand the power of big data analysis earlier this week with the worldwide announcement of the largest data leak in recorded history: the Panama Papers. Led by the International Consortium of… Read more →
Keywords: Big Data • data analysis • data journalism • graph database • icij • Linkurious • Mossack Fonseca • neo4j • Panama Papers • swiss leaks
Announcing the First-Ever Neo4j Certification for Professionals
By Bryce Merkl Sasaki
January 19, 2016|Reading time: 2 minutes
With the strong growth of deployments of Neo4j by enterprise customers and users in all industries, we’ve been asked time and again to provide a certification mechanism that allows Neo4j experts to prove their expertise. In today’s job market, NoSQL… Read more →
Keywords: Application Development • cypher • data analysis • data modeling • graph database • linkedin • neo4j • neo4j certification • nosql database • property graph model
Why Modern Fraud Detection Needs Graph Database Technology
By Bryce Merkl Sasaki
January 4, 2016|Reading time: 3 minutes
Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery – both… Read more →
Keywords: bank fraud • Connected Data • data analysis • e-Commerce Fraud • fraud detection • fraud prevention • fraud ring • graph database • Insurance Fraud • real-time fraud detection
How the ICIJ Unraveled HSBC Fraud Using Neo4j & Linkurious
By Bryce Merkl Sasaki
October 19, 2015|Reading time: 4 minutes
The world of offshore finance is a murky one. In order to conceal the private lives and fortunes of the world’s most rich and powerful, ownership of cash and assets are deliberately obscured. It’s a world driven by vast networks… Read more →
Keywords: data analysis • data journalism • graph database • HSBC • icij • Linkurious • neo4j • offshore leaks • swiss banking • swiss leaks
Navigating the Complexity of Heart Failure Research with Neo4j [Community Post]
By Neo4j Community
July 21, 2015|Reading time: 5 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Life sciences deal with complex, dynamic systems composed of interconnected elements driving health and disease (e.g.… Read more →
Keywords: Big Data • Bioinformatics • data analysis • data science • graph database • Healthcare • heart failure • life science • neo4j • Network Analysis
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