265 RR Timely Dataflow with Frank McSherry

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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