Presentation: Power of Graph Algorithms to Understand Your Data

Track: Sponsored Solutions Track I

Location: Pacific BC

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Slides: Download Slides

Level: Intermediate

Persona: Architect

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Abstract

Neo4j just released an open source library of graph algorithms that run directly in their open source graph database. These algorithms, callable from Cypher, enable clustering & community detection, centrality measurement, and more. Applying these algorithms, developers can create better content recommendations, improve social influencer analysis, and improve fraud detection.

This represents a new architectural pattern for graph analysis -- running real-time and directly on top of the OLTP graph data in memory vs exporting to an analytics solution like Spark+GraphX, as previously recommended.

In this session, we'll explore the performance characteristics of this approach and dive into example graphs and show how graph algorithms can be applied to them for fun and profit. Expect to code and some pretty graph visualizations!

Speaker: Ryan Boyd

Engineer & Head @DevRel

Ryan Boyd is an Engineer and Director of DevRel at Neo4j. He is a San Francisco-based software engineer focused on helping developers win using the awesome power of graph databases. As an auth geek, he dreams in both Python and JWTs.  Previously, he was a product manager for architectural software, built applications and clusters for higher education, and worked on Google Cloud Platform, Google Apps and more during 8 years at Google. He enjoys cycling, sailing, and other adventures when not playing with his toddler.

Find Ryan Boyd at

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@ryguyrg
https://www.linkedin.com/in/ryguyrg