Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
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

1:15pm1:55pm Thursday, September 28, 2017
Data Engineering & Architecture, Stream processing and analytics
Location: 1E 07/08 Level: Intermediate
Secondary topics:  Streaming
Tyler Akidau (Google)
Average rating: ****.
(4.40, 5 ratings)
What does it mean to execute streaming queries in SQL? What is the relationship of streaming queries to classic relational queries? Are streams and tables the same thing? And how does all of this relate to the programmatic frameworks we’re all familiar with? Tyler Akidau answers these questions and more as he walks you through key concepts underpinning data processing in general. Read more.