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Stream processing is now driving the design of big data systems. Streaming architectures must be highly reliable and scalable as never before, more like microservice architectures.
During this talk, you will discover the new requirements that streaming imposes on systems and how they are met by combinations of popular tools like Kafka, Spark, Flink, and Akka. Dean will argue that streaming and microservice architectures are actually converging.
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Dean Wampler, Ph.D., is the Architect for Big Data Products and Services in the Office of the CTO at Lightbend, where he focuses on the evolving “Fast Data” ecosystem for streaming applications based on the SMACK stack, Spark, Mesos, Akka (and the rest of the Lightbend Reactive Platform), Cassandra, Kafka, and other tools.