Ruby Rogues

265 RR Timely Dataflow with Frank McSherry


Listen Later

02:33 - Frank McSherry Introduction
  • Twitter
  • GitHub
03:06 - Computation03:48 - When are more computers needed?04:28 - Scalability! But at what COST?
  • Experimentation
08:03 - Data Format and Pipelines
  • Hilbert Curve
    • github.com/frankmcsherry/blog/blob/master/posts/2015-02-04.md
14:06 - Code That Could Grow
  • Hadoop
  • summingbird
20:38 - Languages and Performance23:14 - “For Loops Unrolled”
  • Rust
28:01 - Scaling
  • helix
35:42 - 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.md
    • github.com/frankmcsherry/blog/blob/master/posts/2015-09-18.md
    • github.com/frankmcsherry/blog/blob/master/posts/2015-09-21.md
 Picks
  • Go-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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Ruby RoguesBy Charles M Wood

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