265 RR Timely Dataflow with Frank McSherry

265 RR Timely Dataflow with Frank McSherry

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02:33 - Frank McSherry IntroductionTwitterGitHub03:06 - Computation03:48 - When are more computers needed?04:28 - Scalability! But at what COST? • Experimentation 08:03 - 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, Epic Vector Clock • Introductory 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.

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