Engineering the Future of Software
November 13–14, 2016: Training
November 14–16, 2016: Tutorials & Conference
San Francisco, CA
Dean Wampler

Dean Wampler
Head of Developer Relations, Anyscale

Website | @deanwampler

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.

Sessions

3:50pm–4:40pm Wednesday, 11/16/2016
Integration architecture
Location: Georgian Level: Intermediate
Dean Wampler (Anyscale)
Average rating: ****.
(4.40, 5 ratings)
Big data architectures and enterprise/microservice architectures are slowly converging. Big data is transitioning to "fast data," emphasizing streaming over batch processing, while data processing is growing ubiquitous. Dean Wampler explores the SMACK stack—Spark, Mesos, Akka, Cassandra, and Kafka—and explains how it addresses the needs of both fast data and the enterprise. Read more.