Conference: Nov 5-7, 2018
Workshops: Nov 8–9, 2018
Presentation: Power of Graph Algorithms to Understand Your Data
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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!
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