The Key to Understanding Big Data Lies with the Graph

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 a developer building graph databases… Learn More »

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On Graphs: An Interview with Emil Eifrem

Originally posted on ODBMS.org“The IoT will have many, many trillions of connections, particularly considering it’s not just the devices that are connected, but people, organizations, applications, and the underlying network” –Emil Eifrem. Q1. Michael Blaha said in an interview: “The… Learn More »

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Walking in Graph Database and the Meaning it Holds

Graph Databases in a Distributed Platform  TitanDB is designed to scale out across a distributed cluster. With Cassandra, it has a distributed storage engine to scale the database as it adds nodes. In comparison, Neo4j, the leading graph database, scales… Learn More »

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Why Graph Databases are Perfect for the Internet of Things

Originally published for Silicon Angle Goldman Sachs recently posited that the Internet of Things, the so-called “Third Wave of the Internet,” will “transform the way we live and work” as it opens up “a host of new opportunities and challenges for companies,… Learn More »

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How Graph Databases Can Power the Future of Recruitment

Originally posted on HRZone. Written by Emil Eifrem, speaker at GraphConnect 2014 SF and CEO of Neo Technology. How Graph Databases Can Power the Future of Recruitment They say it’s not what you know, it’s who you know. But the… Learn More »

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