Mar 15–18, 2020
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 development Lightbend Pipelines, 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 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. He has a Ph.D. in Physics from the University of Washington.

Sessions

1:30pm5:00pm Monday, March 16, 2020
Location: LL21 C
Boris Lublinsky (Lightbend), Dean Wampler (Lightbend)
Machine learning (ML) models are data, which means they require the same data governance considerations as the rest of your data. Boris Lublinsky and Dean Wampler outline metadata management for model serving and explore what information about running systems you need and why it's important. You'll also learn how Apache Atlas can be used for storing and managing this information. Read more.
11:00am11:40am Tuesday, March 17, 2020
Location: LL20C
Dean Wampler (Lightbend), Boris Lublinsky (Lightbend)
Production deployment of ML models requires Data Governance, because models are data. This session justifies that claim, then explores its implications and techniques for satisfying the requirements. Using motivating examples, we’ll explore reproducibility, security, traceability, and auditing, plus some unique characteristics of models in production settings. Read more.

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