Ewen Cheslack-Postava is a Kafka committer and engineer at Confluent building a stream data platform based on Apache Kafka to help organizations reliably and robustly capture and leverage all their real-time data. He received his PhD from Stanford University where he developed Sirikata, an open source system for massive virtual environments. His dissertation defined a novel type of spatial query giving significantly improved visual fidelity, and described a system for efficiently processing these queries at scale.
Slides from Ewen’s talk are now available on the Chariot Solutions site.
Ewen’s talk is now available on the Chariot Solutions site.