This podcast explores how to build high-performance, low-latency data streaming pipelines using Kafka, Neo4j, and Google Cloud. It discusses real-time data integration, event-driven architectures, and best practices for processing and analyzing connected data at scale. Perfect for data engineers, cloud architects, developers, and technology professionals interested in modern streaming and graph data solutions.