Dean Wampler (
@deanwampler) is a Chicago-based expert in data engineering for scalable, streaming data systems and applications of machine learning and artificial intelligence (ML/AI). He is a Principal Software Engineer at Domino Data Lab.
Previously he worked at Anyscale, where he focused on scalable ML with Ray, and at Lightbend, where he developed distributed streaming data systems using Apache Spark, Apache Kafka, Kubernetes, and other tools.
Dean is the author of "Programming Scala", "What Is Ray? Distributed Computing Made Simple", "Fast Data Architectures for Streaming Applications", "Functional Programming for Java Developers", and the coauthor of "Programming Hive", all from O'Reilly.
He is a contributor to several open source projects, and a frequent conference speaker and co-organizer. Dean has a Ph.D. in Physics from the University of Washington.
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Agenda
(Times are Central Standard Time)
6:00pm - Brief introductions
6:05pm - Talk by Dean Wampler
6:45pm - Q&A
7:00pm - End