Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Tyler Akidau

Tyler Akidau
Software Engineer, Google

Website | @takidau

Tyler Akidau is a senior staff software engineer at Google Seattle, where he leads technical infrastructure internal data processing teams for MillWheel and Flume. Tyler 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 that batch and streaming are two sides of the same coin and that the real endgame for data processing systems is the seamless merging between the two. He is the author of the 2015 “Dataflow Model” paper and “Streaming 101” and “Streaming 102” blog posts. His preferred mode of transportation is by cargo bike, with his two young daughters in tow.

Sessions

17:25–18:05 Thursday, 2/06/2016
Ask Me Anything
Location: Expo Hall (AMA tables)
Tags: real-time
Tyler Akidau (Google), Kenneth Knowles (Google), Slava Chernyak (Google)
Average rating: *****
(5.00, 1 rating)
Apache Beam/Google Cloud Dataflow engineers Tyler Akidau, Kenneth Knowles, and Slava Chernyak will be on hand to answer a wide range of detailed questions about stream processing. Even if you don’t have a specific question, join in to hear what others are asking. Read more.
11:15–11:55 Friday, 3/06/2016
Data innovations
Location: Capital Suite 14 Level: Intermediate
Tags: real-time, iot
Tyler Akidau (Google)
Average rating: ****.
(4.53, 17 ratings)
Tyler Akidau offers a whirlwind tour of the conceptual building blocks of massive-scale data processing systems over the last decade, comparing and contrasting systems at Google with popular open source systems in use today. Read more.