This podcast explores how Kafka, Neo4j, and real-time telemetry data can be combined to build powerful graph-based analytics systems. It discusses event streaming, connected data architectures, and techniques for capturing and analyzing live interactions from applications and games such as Doom. Perfect for data engineers, developers, cloud architects, and technology enthusiasts interested in real-time graph processing and streaming analytics.