Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Tyler Akidau

Tyler Akidau
Software Engineer, Google

Website | @takidau

Tyler Akidau is a staff software engineer at Google Seattle. He leads technical infrastructure’s internal data processing teams (MillWheel & Flume), is a founding member of the Apache Beam PMC, and has spent the last seven years working on massive-scale data processing systems. Though deeply passionate and vocal about the capabilities and importance of stream processing, he is also a firm believer in batch and streaming as two sides of the same coin, with the real endgame for data processing systems the seamless merging between the two. He is the author of the 2015 Dataflow Model paper and the Streaming 101 and Streaming 102 articles on the O’Reilly website. His preferred mode of transportation is by cargo bike, with his two young daughters in tow.

Sessions

11:1511:55 Thursday, 25 May 2017
Level: Beginner
Tyler Akidau (Google)
Average rating: ***..
(3.80, 5 ratings)
The world of big data involves an ever-changing field of players. Much as SQL is a lingua franca for declarative data analysis, Apache Beam aims to provide a portable standard for expressing robust, out-of-order data processing pipelines in a variety of languages across a variety of platforms. Tyler Akidau explains how this vision has been realized and discusses the challenges that lie ahead. Read more.
14:0514:45 Thursday, 25 May 2017
Location: Capital Hall (N24) - O'Reilly booth - Table B
Tyler Akidau (Google)
Average rating: *****
(5.00, 1 rating)
Chat with Tyler about stream processing in general or Apache Beam specifically. Read more.