Graph Databases for Beginners: Graph Theory & Predictive Modeling

Graphs are everywhere, from illustrating the connections between Game of Thrones characters to tracking the interactions betweens hundreds of thousands of servers in a public network. Throughout this blog series, we’ve talked a lot about the practical details of working… Learn More →

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Graph Databases for Beginners: Graph Search Algorithm Basics

While graph databases are certainly a rising tide in the world of technology, graph theory and graph algorithms are mature and well-understood fields of computer science. In particular, graph search algorithms can be used to mine useful patterns and results… Learn More →

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RDBMS & Graphs: Graph Basics for the Relational Developer

We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… Learn More →

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A New Way of Looking at “Moving Relationships” in Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction A graph database is not only a simple way to store connected data, it is… Learn More →

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Graph Databases for Beginners: Why Graphs Are the Future

So you’ve heard about graph databases and you want to know what all the buzz is about. Are they just a passing trend – here today and gone tomorrow – or are they a rising tide your business and your… Learn More →

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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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