GraphGeeks Talk: Graph Modeling Mastery to Optimize Performance

Explore the dual meanings of "modeling" in the graph database world. First, we'll dive into structural optimization—how to architect your graph data to leverage the mechanical sympathy inherent in most graph databases. You'll discover techniques for using relationship types as strategic partitioning tools that dramatically accelerate query performance. Second, we'll explore domain modeling through a graph lens. Learn how to structure your business data to naturally reveal valuable patterns: identifying clusters, establishing frequently traversed paths, and uncovering hidden connections that traditional models miss. Speaker: Max De Marzi is a graph database enthusiast. He spent 8 years at Neo4j, then time with Amazon Neptune, and is now with RelationalAI. He's a blogger and an open source contributor, both activities which stem from passion: teaching people about graphs. (And he loves his dogs, which you'll hear for 2 mins in the middle of this session!)