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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Thomas Weise

Thomas Weise
Software Engineer, Streaming Platform, Lyft

Website | @thweise

Thomas Weise is a software engineer for the streaming platform at Lyft. Thomas is PMC member of Apache Apex and Apache Beam; he has also contributed to several other of the ecosystem projects. He has worked on distributed systems for over 20 years, including at a number of technology companies in the San Francisco Bay Area, such as DataTorrent, where he was a cofounder of the Apex project. Thomas is a frequent speaker at international big data conferences and author of the book Learning Apache Apex.

Sessions

11:20am–12:00pm Thursday, 09/13/2018
Location: 1E 07/08 Level: Beginner
Secondary topics:  Temporal data and time-series analytics, Transportation and Logistics
Thomas Weise (Lyft), Mark Grover (Lyft)
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Thomas Weise and Mark Grover explain how Lyft uses its streaming platform to detect and respond to anomalous events, using data science tools for machine learning and a process that allows for fast and predictable deployment. Read more.