Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
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

2:55pm–3:35pm Thursday, 10/01/2015
Spark & Beyond
Location: 1 E20 / 1 E21 Level: Intermediate
Dean Wampler (Anyscale)
Average rating: ****.
(4.33, 6 ratings)
Apache Spark is often seen as a replacement for MapReduce in Hadoop systems, but Spark clusters can also be deployed and managed by Mesos. This talk explains how to use Mesos for Spark applications. We'll examine the pros and cons of using Mesos vs. Hadoop YARN as a data platform, and discuss practical issues when running Spark on Mesos. We'll even discuss how to combine the two with Myriad. Read more.
3:45pm–4:25pm Thursday, 10/01/2015
Office Hours
Location: Table A (O'Reilly Booth)
Dean Wampler (Anyscale)