Dev Conference by Neo4j
Session Track: Graphs
Session Time:
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.
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.
