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Episode description
265 RR Timely Dataflow with Frank McSherry
Ruby Rogues
Jun 22, 2016
•
1 hr 3 min
•
Transcript available on
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Episode description
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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265 RR Timely Dataflow with Frank McSherry | Ruby Rogues podcast - Listen or read transcript on Metacast