Join Dean to discuss all things streaming, from new architectures that integrate more closely with microservices, using Kafka as the data backplane, and Spark and Flink for large-scale data streams where sophisticated handling is required to using Akka Streams and Kafka Streams when low-overhead data processing microservices are needed, runtime platforms like Mesos, Kubernetes, and YARN, and alternatives to all the above.
Dean Wampler is an expert in streaming data systems, focusing on applications of machine learning and artificial intelligence (ML/AI). He’s head of developer relations at Anyscale, which is developing Ray for distributed Python, primarily for ML/AI. Previously, he was an engineering VP at Lightbend, where he led the development of Lightbend CloudFlow, an integrated system for building and running streaming data applications with Akka Streams, Apache Spark, Apache Flink, and Apache Kafka. Dean is the author of Fast Data Architectures for Streaming Applications, Programming Scala, and Functional Programming for Java Developers, and he’s the coauthor of Programming Hive, all from O’Reilly. He’s a contributor to several open source projects. A frequent conference speaker and tutorial teacher, he’s also the co-organizer of several conferences around the world and several user groups in Chicago. He earned his PhD in physics from the University of Washington.
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