When tables hide the big picture, graph reveals it. This hands-on workshop shows how to pair Azure Databricks with Neo4j for relationship intelligence. You’ll model entities/relationships, sync Delta <--> Neo4j, run Cypher patterns for fraud, identity resolution, and supply chain, and extract graph features back to Delta for ML/BI. I will cover governance and lineage across both stores, performance trade-offs and a pragmatic cost model. You’ll leave with code, data models, and sync patterns to add graph where it matters, without breaking pipelines or budgets.