Graph Databases for Beginners: Other Graph Technologies

Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That’s because the definition of fun in Königsberg was to walk around the city’s seven bridges and find a path that only… Read more →

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Intelligent Recommendation Engine for Financial Analysts

Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →

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Evaluating Investor Performance Using Neo4j, GraphXR and ML

[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →

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Decyphering Your Graph Model

Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language… Read more →

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RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?

Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the… Read more →

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Integrating All of Biology into a Public Neo4j Database

Editor’s Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network… Read more →

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From the Neo4j Community: September 2016

The Neo4j community has been busy this autumn, and September (as the month before GraphConnect) was exceptional. Read on to see this past month’s top content, including great articles on polyglot persistence with MongoDB, RDF-to-graph transitions and using Neo4j with… Read more →

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Common Confusions on Cypher (and How to Avoid Them)

I spend a lot of my free time answering Stack Overflow questions about Cypher, Neo4j’s graph query language. Cypher is an intuitive, ASCII-art-driven language that allows you to query your property graph by specifying patterns of nodes and relationships. While… Read more →

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Neo4j + Cassandra: Transferring Data from a Column Store to a Property Graph

We’ve previously talked about the concept of polyglot persistence and why it can make sense to use multiple database technologies together. Today, we will examine a possible use case for using Neo4j (a graph database) and Cassandra (a column store)… Read more →

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Neo4j Doc Manager: Polyglot Persistence for MongoDB & Neo4j

When building scalable applications, developers have a myriad of technologies to choose from, especially when choosing a database technology. We want to choose the right piece of technology that offers optimal enhancement of functionality or performance boost. However, when adding… Read more →

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