Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
Dean Wampler

Dean Wampler
Vice President, Fast Data Engineering, Lightbend

Website | @deanwampler

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’s the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He’s 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.

Sessions

9:00am–12:30pm Tuesday, 09/27/2016
Spark & beyond
Location: 1 E 15/1 E 16 Level: Intermediate
Dean Wampler (Lightbend)
Average rating: *****
(5.00, 4 ratings)
Apache Spark is written in Scala. Hence, many if not most data engineers adopting Spark are also adopting Scala, while most data scientists continue to use Python and R. Dean Wampler offers an overview of the core features of Scala you need to use Spark effectively, using hands-on exercises with the Spark APIs. Read more.