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

Kenneth Knowles
Software Engineer, Google

@KennKnowles

Kenn Knowles is a founding committer of Apache Beam (incubating). Kenn has been working on Google Cloud Dataflow—Google’s Beam backend—since 2014. Prior to that, he built backends for startups such as Cityspan, Inkling, and Dimagi. Kenn holds a PhD in programming languages from the University of California, Santa Cruz.

Sessions

17:25–18:05 Thursday, 2/06/2016
Ask me anything: Stream processing
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.
12:05–12:45 Friday, 3/06/2016
Triggers in Apache Beam (incubating): User-controlled balance of completeness, latency, and cost in streaming big data pipelines
Data innovations
 Location: Capital Suite 12 Level: Advanced
Tags: real-time
Kenneth Knowles (Google)
Average rating: ****.
(4.67, 3 ratings)
Drawing on important real-world use cases, Kenneth Knowles delves into the details of the language- and runner-independent semantics developed for triggers in Apache Beam, demonstrating how the semantics support the use cases as well as all of the above variability in streaming systems. Kenneth then describes some of the particular implementations of those semantics in Google Cloud Dataflow. Read more.