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 the vice president of fast data engineering at Lightbend, where he leads the Lightbend Fast Data Platform project, a distribution of scalable, distributed stream processing tools including Spark, Flink, Kafka, and Akka, with machine learning and management tools. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects. A frequent Strata speaker, he’s also the co-organizer of several conferences around the world and several user groups in Chicago.
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