Discover with Pierre Halftermeyer 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.
Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
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