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

Thomas Weise
Software Engineer, Streaming Platform, Lyft

Website | @thweise

Thomas Weise is a software engineer for the streaming platform at Lyft. He’s also a PMC member for the Apache Apex and Apache Beam projects and has contributed to several more projects within the ASF ecosystem. Thomas is a frequent speaker at international big data conferences and the author of Learning Apache Apex.


11:1511:55 Thursday, 2 May 2019
Data Engineering and Architecture, Expo Hall, Streaming and IoT
Location: Expo Hall 2 (Capital Hall N24)
Thomas Weise (Lyft)
Average rating: ****.
(4.50, 14 ratings)
Fast data and stream processing are essential for making Lyft rides a good experience for passengers and drivers. Lyft's systems need to track and react to event streams in real time to update locations, compute routes and estimates, balance prices, and more. Thomas Weise offers an overview of the streaming platform that powers these use cases. Read more.