GraphAware Archives - Neo4j Graph Database

7VORTEX: Systems Thinking Powered by Graph Technology

By Bryce Merkl Sasaki | October 10, 2017

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out… Learn More →

Keywords: biology • Connected Data • graph algorithms • graph technology • graph visualization • GraphAware • graphconnect • natural language processing • nlp • PageRank

This Week in Neo4j – 7 October 2017

By Mark Needham | October 7, 2017

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… Learn More →

Keywords: data science • eBay • facebook • GraphAware • Knowledge Graph • natural language processing • nlp • twin4j

What’s New in Neo4j Databridge [April 2017]

By Bryce Merkl Sasaki | April 27, 2017

Since our first post a few months back, Neo4j-Databridge has seen a number of improvements and enhancements. In this post, we’ll take a quick tour of the latest features. Streaming Endpoint Although Databridge is primarily designed for bulk data import,… Learn More →

Keywords: binary protocol • bolt • data import • data resources • Databridge • graph database • GraphAware • graphconnect • neo4j • streaming endpoint

Collaborative Filtering: Creating the Best Teams Ever

By Rachel Howard | February 16, 2017

Editor’s Note: This presentation was given by Maurits van der Goes at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Why do we need virtual teams? How to develop a graph recommendation engine How to… Learn More →

Keywords: collaborative filtering • cosine similarity • cypher • data model • Graph Algorithm • GraphAware • graphconnect • MongoDB • Recommendation Engine • virtual team

The 5-Minute Interview: Christophe Willemsen, Senior Consultant at GraphAware

By Rachel Howard | November 25, 2016

For this week’s 5-Minute Interview, I chatted with Christophe Willemsen, Senior Neo4j Consultant at GraphAware in London. Christophe and I spoke at GraphConnect San Francisco last October. Here’s what we discussed: Talk to me about how you use Neo4j. I’m… Learn More →

Keywords: 5-minute interview • Airbnb • apache spark • cypher • elasticsearch • GraphAware • JVM • natural language processing • Recommendation Engine • relational database

Introducing GraphAware Databridge: Graph Data Import Made Simple

By Bryce Merkl Sasaki | October 6, 2016

GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction Until now, Neo4j users wanting to import data into Neo4j have been faced with two choices: Create Cypher statements… Learn More →

Keywords: csv • cypher • data import • etl • GraphAware • jdbc • json • Microsoft SQL Server • Oracle • relational database

Using NLP + Neo4j for a Social Media Recommendation Engine

By Bryce Merkl Sasaki | October 4, 2016

GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction In recent years, the rapid growth of social media communities has created a vast amount of digital documents on… Learn More →

Keywords: conceptnet • document database • document modeling • elasticsearch • GraphAware • natural language processing • nlp • Recommendation Engine • social media • text analysis

(Un)common Use Cases for Graph Databases

By Bryce Merkl Sasaki | April 18, 2016

At GraphAware, we live and breathe Neo4j. For three years, we have been helping customers around the world embrace this amazing technology as a solution to many interesting problems. Mainstream applications of graphs, such as real-time recommendations, fraud detection, impact… Learn More →

Keywords: cypher • fraud detection • graph database • GraphAware • graphconnect • investment portfolio • law enforcement • neo4j • real-time recommendation • rules engine

The 5-Minute Interview: Scott David, World Economic Forum

By Bryce Merkl Sasaki | January 22, 2016

This week’s 5-minute interview is with Scott David, the Director of Information Interaction at the World Economic Forum. I caught up with Scott David for a video interview at GraphConnect San Francisco. Q: Please tell us a little bit about… Learn More →

Keywords: 5-minute interview • cypher • data model • global issues • GraphAware • graphconnect • neo4j • real-time recommendations • transformation map • world economic forum

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