Graphs in Time and Space: A Visual Example
October 31, 2018 8 mins read
Editor’s Note: This presentation was given by Dan Williams at GraphConnect Europe in May 2017. Presentation Summary Graph databases are helping to solve some of today’s most pressing challenges. From managing critical infrastructure and understanding cyber threats to detecting fraud,… Read more →
Explore: Cambridge Intelligence • data insights • Data Visualization • graph data visualization • graph database • graph topology • graph visualization • graphconnect • Keylines
If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None
October 30, 2018 4 mins read
About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →
Explore: DataPhilly • Graph Databases • graph technology • GraphDB meetup • neo4j • nosql
Graph Algorithms in Neo4j: The Rise of Graph Analytics
October 29, 2018 5 mins read
According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →
Explore: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning
This Week in Neo4j – DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global Power Emissions Database
October 27, 2018 4 mins read
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. This week we have DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global… Read more →
Explore: agent smith • apache spark • apache spark graphx • deepgl • Global Power Emissions Database • graph embedding • GraphConnect 2018 • Kubernetes • twin4j
Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE
October 26, 2018 4 mins read
“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →
Explore: 5-minute interview • data retrieval • data science • dynamic SQL • Graph Databases • nosql • Python • rdbms • recursive SQL • sql queries
Graph Databases for Beginners: Why We Need NoSQL Databases
October 25, 2018 7 mins read
NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →
Explore: aggregate store • data model • data valence • data variety • data velocity • data volume • nosql • nosql database • relational database • sql
NLP at Scale for Maintenance and Supply Chain Management
October 24, 2018 16 mins read
Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →
Explore: artificial intelligence • Caterpillar • cypher • graph database • graph query • graphconnect • knowledge representation • machine learning • natural language processing • supply chain management
5 Noteworthy Use Cases of Graph Technology and Graph Analytics
October 23, 2018 5 mins read
When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →
Explore: fraud detection • Graph Analytics • graph database • graph technology • Graph Theory • identity access management • machine learning • regulatory compliance • Relational Databases • supply chain
Graph Algorithms in Neo4j: The Power of Graph Analytics
October 22, 2018 5 mins read
According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →
Explore: Connected Data • Gartner • graph algorithms • graph analysis • Graph Analytics • graph database • graph models • Graph Theory • neo4j • Network Science