Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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

13:30–17:00 Tuesday, 30 April 2019
Hands-on machine learning with Kafka-based streaming pipelines
Streaming and IoT
 Location: Capital Suite 10
Secondary topics:  Model lifecycle management, Streaming and realtime analytics
Boris Lublinsky (Lightbend), Dean Wampler (Anyscale)
Average rating: ****.
(4.20, 5 ratings)
Boris Lublinsky and Dean Wampler walk you through using ML in streaming data pipelines and doing periodic model retraining and low-latency scoring in live streams. You'll explore using Kafka as a data backplane, the pros and cons of microservices versus systems like Spark and Flink, tips for TensorFlow and SparkML, performance considerations, model metadata tracking, and other techniques. Read more.
16:35–17:15 Thursday, 2 May 2019
Executive Briefing: What it takes to use machine learning in fast data pipelines
Executive Briefing and best practices, Strata Business Summit
 Location: Capital Suite 13
Secondary topics:  Data Integration and Data Pipelines, Streaming and realtime analytics
Dean Wampler (Anyscale)
Average rating: *****
(5.00, 4 ratings)
Your team is building machine learning capabilities. Dean Wampler demonstrates how to integrate these capabilities in streaming data pipelines so you can leverage the results quickly and update them as needed and covers challenges such as how to build long-running services that are very reliable and scalable and how to combine a spectrum of very different tools, from data science to operations. Read more.