Speed and Precision: Mastering Graph Traversal With Quantified Path Patterns

Welcome to NODES 2024

Welcome to NODES 2024, the biggest graph community gathering dedicated to graph-powered apps and contextual AI with the latest GenAI innovations!

Join us on November 7, 2024, for a 24-hour free online conference accessible across all time zones and locations, catering to all levels of expertise.

Session Track:

Session Time: 08:00 am - 08:30 am November 7

Session description

Discover how Neo4j revolutionizes graph traversal with Quantified Path Patterns (QPP). This session will delve into how QPP enables lightning-fast traversal and precise pattern matching by pruning graphs during traversal. Using real-world case studies, Pierre will demonstrate the significant improvements in performance and accuracy that QPP brings. You will learn how to harness these powerful features to optimize your data queries and analytics. Join this session to gain valuable insights into enhancing your graph querying capabilities with Neo4j's advanced features.

Speaker

Pierre Halftermeyer

Senior Solutions Engineer, Neo4J

Pierre Halftermeyer, Ph.D. in Combinatorics, is a Solutions Engineer at Neo4j with 20 years of experience in graphs and database technologies. Based in the Paris area, Pierre has spent the last three years at Neo4j, specializing in optimizing complex data queries. An avid problem solver, he once completed the entire Advent of Code challenge using only Cypher. Outside of work, Pierre is a dedicated father and powerlifter.