Mar 15–18, 2020
Boris Lublinsky

Boris Lublinsky
Software Architect, Lightbend

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Boris Lublinsky is a software architect at Lightbend, where he specializes in big data, stream processing, and services. Boris has over 30 years’ experience in enterprise architecture. Previously, was responsible for setting architectural direction, conducting architecture assessments, and creating and executing architectural road maps in fields such as big data (Hadoop-based) solutions, service-oriented architecture (SOA), business process management (BPM), and enterprise application integration (EAI). Boris is the coauthor of Applied SOA: Service-Oriented Architecture and Design Strategies, Professional Hadoop Solutions, and Serving Machine Learning Models. He’s also cofounder of and frequent speaker at several Chicago user groups.

Sessions

1:30pm5:00pm Monday, March 16, 2020
Location: LL21 C
Boris Lublinsky (Lightbend), Dean Wampler (Lightbend)
Machine learning models are data, which means they require the same data governance considerations as the rest of your data. In this tutorial we will concentrate on metadata management for model serving. We will discuss what information about running systems we need and why it is important. We will also show 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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