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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 is Software Engineer, Streaming Platform at Lyft and Apache Apex PMC Chair. Earlier he worked at a number of other technology companies in the San Francisco Bay Area, including DataTorrent, where he was a Co-Founder of the Apex project. Thomas is also a committer to Apache Beam and has contributed to several other of the ecosystem projects. Thomas has worked on distributed systems for over 20 years, speaker at international big data conferences and author of the book “Learning Apache Apex”.


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)
Consumer facing real-time processing poses a number of challenges to protect from fraudulent transactions and other risks. The streaming platform at Lyft seeks to support this with an architecture that brings together a data science friendly programming environment with a deployment stack for the reliability, scalability and other SLA requirements of a mission critical stream processing system. Read more.