Presented By O'Reilly and Cloudera
Make Data Work
5–7 May, 2015 • London, UK
Tyler Akidau

Tyler Akidau
Software Engineer, Google

Website | @takidau

Tyler Akidau is a staff software engineer at Google. The current tech lead for internal streaming data processing systems (e.g. MillWheel), he’s spent five years working on massive-scale streaming data processing systems. He passionately believes in streaming data processing as the more general model of large-scale computation. His preferred mode of transportation is by cargo bike, with his two young daughters in tow.


14:35–15:15 Thursday, 7/05/2015
Office Hour
Location: Table B
Tyler Akidau (Google)
Interested in streaming data processing? Tyler would be delighted to chat about techniques for balancing the tension between latency, correctness, and cost in large-scale data processing systems. He’ll also talk about what does and doesn’t work in streaming data processing systems, and how "Google Cloud Dataflow" might change the way you approach data processing. Read more.
16:15–16:55 Thursday, 7/05/2015
Hadoop & Beyond
Location: Buckingham Room - Palace Suite
Tyler Akidau (Google)
Average rating: ****.
(4.14, 7 ratings)
Learn what it takes to ditch your Big Data batch pipelines and go all-streaming-all-the-time, without compromising latency, correctness, or the flexibility to deal with changes in upstream data. Read more.