Customer 360 demand more than just relational joins. In this hands-on workshop, I will show how to build a graph-powered CDP on Databricks using Neo4j GraphDB. With the Neo4j Spark Connector, I will stream multi-channel data into Delta Lake, run graph queries to uncover hidden affinities, and deliver insights back into Databricks ML and BI. I will cover real-world use cases like identity resolution, cross-channel attribution, and personalization.

Attendees will leave with detailed understanding around Customer 360 & CDP. You will have a hands-on deep dive immersion in Neo4j GraphDB & Databricks Data Platform. Understand patterns and design approaches to bring graph analytics into your Lakehouse and deliver customer intelligence that traditional CDPs struggle to achieve.