Show Notes
02:33 - Frank McSherry Introduction
03:06 - Computation
03:48 - When are more computers needed?
04:28 - Scalability! But at what COST?
- Experimentation
08:03 - Data Format and Pipelines
14:06 - Code That Could Grow
20:38 - Languages and Performance
23:14 - “For Loops Unrolled”
28:01 - Scaling
35:42 - Functional vs Procedural Language
37:47 - Dataflow (Timely; Differential)
- Around, Epic
- Vector Clock
- Introductory Blog Posts:
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.
265 RR Timely Dataflow with Frank McSherry
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