Which GraphConnect Training Should You Take? [Quiz]
By Bryce Merkl Sasaki
August 17, 2018|
Reading time: 2 minutes
It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… Read more →
Keywords: cypher • data science • Data Visualization • graph algorithms • graphconnect • machine learning • natural language understanding • Neo4j Bloom • neo4j training • python
The Top 10 Reasons to Attend GraphConnect 2018 in New York City
By Jocelyn Hoppa
August 10, 2018|
Reading time: 5 minutes
Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →
Keywords: Connected Data • cypher • data science • Data Visualization • graph alorithms • graph database • graph technology • GraphConnect 2018 • knowledge graphs • machine learning
Taking the First Step: How to Lead a Local Neo4j GraphDB Meetup
By Jocelyn Hoppa
August 2, 2018|
Reading time: 4 minutes
I discovered Neo4j and became instantly captivated. Finding something that made data make sense, was fun, approachable, and easier to learn, I read articles and white papers, watched videos online… but it wasn’t enough. I needed to connect, with people,… Read more →
Keywords: Big Data • Connected Data • data science • fraud detection • graph algorithms • Graph Databases • graphitude • neo4j meetup • nodes • relationships
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
Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 1]
By Bryce Merkl Sasaki
February 13, 2018|
Reading time: 8 minutes
I recently had the opportunity to combine work and pleasure and meet with Dr. Aaron Clauset, an expert on network science, data science and complex systems. In 2016, Clauset won the Erdos-Renyi Prize in Network Science but you might be… Read more →
Keywords: complex systems • cybersecurity • data science • economics • genetics • graph algorithms • ICON dataset • machine learning • Network Science • social network
This Week in Neo4j – 7 October 2017
By Mark Needham
October 7, 2017|
Reading time: 4 minutes
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Michal Bachman This week’s featured community member is Michal Bachman, founder and Managing… Read more →
Keywords: data science • eBay • facebook • GraphAware • Knowledge Graph • natural language processing • nlp • twin4j
GraphConnect: New York City, Here We Come!
By Bryce Merkl Sasaki
July 31, 2017|
Reading time: 3 minutes
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… Read 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|
Reading time: 8 minutes
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… Read 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|
Reading time: 11 minutes
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… Read 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|
Reading time: 4 minutes
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… Read 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|
Reading time: 5 minutes
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:… Read 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|
Reading time: 4 minutes
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… Read 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|
Reading time: 2 minutes
“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… Read 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|
Reading time: 10 minutes
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… Read 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|
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
The Secret to More Efficient Data Science with Neo4j and R [OSCON Preview]
By Nicole White, Data Scientist
June 29, 2015|
Reading time: 3 minutes
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… Read more →
Keywords: data science • graph database • neo4j • nosql • open source • Oracle • OSCON • r • sql • sql queries • twitter
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