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Graph Theory: Key to Understanding Big Data
Article originally posted to Wired.com by Emil Eifrem. Dr. Roy Marsten wrote in March that Graph Theory was a key approach in understanding and leveraging big data. As a advocate of graph theory and as...
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Why Graph Databases Are Becoming Part of Everyday Life
Published in datanami Zephyr Health, a San Francisco-based software company that offers a data analytics platform for pharmaceutical, biotech and medical device companies, wanted its customers to...
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Announcing the Neo4J-GraphQL integration Simplifying Data-Intensive Development
Excerpt from Infoworld article – Grand stack aims to simplify data-intensive app development The Grand stack combines a set of technologies geared toward scalable applications and the use of...
View ArticleGraph Model of Facebook Post Reactions in Neo4j Part 1
Graph Model of Facebook Post Reactions in Neo4j Part 1 This blog post explores how to model the six different reactions on Facebook – like, love, haha, wow, sad, angry – with graph technology. Read...
View ArticleFacebook technology for your supply chains
Facebook technology for your supply chains Graph is available as open-source for organizations to experiment with the technology. Graph can be the master database, but frequently isn’t – at least not...
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