265 RR Timely Dataflow with Frank McSherry

02:33 - Frank McSherry IntroductionTwitterGitHub03:06 - Computation03:48 - When are more computers needed?04:28 - Scalability! But at what COST?Experimentation08:03 - Data Format and PipelinesHilbert Curvegithub.com/frankmcsherry/blog/blob/master/posts/2015-02-04.md14:06 - Code That Could GrowHadoopsummingbird20:38 - Languages and Performance23:14 - “For Loops Unrolled”Rust28:01 - Scalinghelix35:42 - Functional vs Procedural Language37:47 - Dataflow (Timely; Differential)Around, EpicVector ClockIntroductory Blog Posts: github.com/frankmcsherry/blog/blob/master/posts/2015-09-14.mdgithub.com/frankmcsherry/blog/blob/master/posts/2015-09-18.mdgithub.com/frankmcsherry/blog/blob/master/posts/2015-09-21.md PicksGo-Ped Know Ped Scooter (Sam)2015 State of the Software Supply Chain Report (Jessica)The Screwtape Letters (Jessica)Start with Why: How Great Leaders Inspire Everyone to Take Action by Simon Sinek (Chuck)RIF6 Cube 2-inch Mobile Projector (Chuck)The Night Circus by Erin Morgenstern (Frank)PrAna (Frank)Rust (Frank)Big Data Analytics with Datalog Queries on Spark (Frank)Special Guest: Frank McSherry. Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/ruby-rogues--6102073/support.