GraphConnect: New York City, Here We Come!
By Bryce Merkl Sasaki | July 31, 2017
As you already know, Neo4j embodies relationships and connections between data. Not just that, it taps into the value of these relationships and connections. This is why we started GraphConnect: We wanted to put just as much emphasis on connecting… Learn More →
Keywords: cypher • data science • graph database • graph technology • graphconnect • GraphQL • hackathon • neo4j • neo4j training • New York
The Emergence of the Enterprise DataFabric
By Rachel Howard | June 1, 2017
Editor’s Note: This presentation was given by Mark Kvamme and Clark Richey at GraphConnect San Francisco in October 2016. Presentation Summary Enterprises are faced with a variety of challenges when it comes to managing data, largely due to the disparate… Learn More →
Keywords: Big Data • cypher • data science • DataFabric • graph technology • graphconnect • nosql • r • RDF • relational database
How NASA Finds Critical Data through a Knowledge Graph
By Rachel Howard | May 17, 2017
Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power of… Learn More →
Keywords: data science • graph visualization • graphconnect • knowledge architecture • Knowledge Graph • knowledge management • latent Dirichlet allocation • MongoDB • nasa • r
Fraud Prevention with Neo4j: A 5-Minute Overview
By Bryce Merkl Sasaki | April 21, 2017
Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Learn More →
Keywords: credit card fraud • data science • ecommerce fraud • financial services • fraud detection • fraud pattern • fraud prevention • Fraud Rings • Insurance Fraud • pattern analysis
The Top 10 Can’t-Miss Speakers at GraphConnect Europe [2017 Edition]
By Bryce Merkl Sasaki | April 11, 2017
You already know the top nine reasons you should attend GraphConnect Europe this year, but besides the fantastic networking opportunities with some of the world’s most advanced graph database developers, architects and CTOs, there’s one reason that outshines them all:… Learn More →
Keywords: Airbnb • Capgemini UK • configuration management • data science • Deutsche Bahn • graphconnect • Kubernetes • machine learning • Orange • Telia Company
This Week in Neo4j – 8 April 2017
By Mark Needham | April 8, 2017
Welcome to this week in Neo4j, where we round up what’s been happening in the world of graph database in the last seven days. This week we look at how to create a Twitter clone using Neo4j, the Neo4j data… Learn More →
Keywords: APOC • cypher • D3.js • data science • docker • Gephi • jqassistant • Jupyter • malware analysis • PageRank • twin4j
The 5-Minute Interview: Antonio Molins, VP of Data Science at Miroculus
By Rachel Howard | March 3, 2017
“We think it’s good to use the right tool for the right problem — and graph databases are the right tool if you are focusing on relationships,” said Antonio Molins, Vice President of Data Science at Miroculus. Choosing the right… Learn More →
Keywords: 5-minute interview • data insights • data science • graph database • graphconnect • microRNA • Miroculus • molecular diagnostics • neo4j • scientific data
Building a Real-Time Recommendation Engine with Data Science
By Bryce Merkl Sasaki | August 17, 2016
Editor’s Note: This presentation was given by Nicole White at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: Basic graph-powered recommendations Social recommendations Similarity recommendations Cluster recommendations – What we’re going to be talking about… Learn More →
Keywords: cartesian product • clustering algorithm • cypher • data science • Euclidean distance • graphconnect • r • real-time recommendation • Recommendation Engine • social recommendation
Navigating the Complexity of Heart Failure Research with Neo4j [Community Post]
By Neo4j Community | July 21, 2015
[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.… Learn More →
Keywords: Big Data • Bioinformatics • data analysis • data science • graph database • Healthcare • heart failure • life science • neo4j • Network Analysis
The Secret to More Efficient Data Science with Neo4j and R [OSCON Preview]
By Nicole White, Data Scientist | June 29, 2015
It’s a sad but true fact: Most data scientists spend 50-80% of their time cleaning and munging data and only a fraction of their time actually building predictive models. This is most often true in a traditional stack, where most… Learn More →
Keywords: data science • graph database • neo4j • nosql • open source • Oracle • OSCON • r • sql • sql queries • twitter
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