This week, the Neo4j community explored event-driven graph analytics using Neo4j and Apache Kafka, with a focus on streaming data between causal cluster instances. They also learned how to load data into a remote Neo4j instance, model Instacart data, and build an Incident Response Knowledge Graph. The featured community member, Vlad Batushkov, completed a 1-month graph challenge, creating various graphs and challenges others to do the same. Additionally, the APOC library was released with new features, including functions for working with dates and procedures for merging nodes and relationships. Various other topics, such as modeling events in Neo4j and loading tweets into Kafka and Neo4j, were also covered.