In the previous post in this series, we looked at how we can model the canonical Snowplow page_view events as a graph. We identified the various entities that make up the event and assigned each dimension of the event as a property on one of those entity nodes. We then used composable schemas to piece together a JSON schema for the event, composed of the individual schemas for each node and relationship.
This is a companion discussion topic for the original entry at https://snowplowanalytics.com/blog/2019/02/13/resolving-entities-with-graph-databases-using-neo4j/