Distributed functional programming

on YouTube ↗01h 32m

" summary

Recasts functional programming concepts for distributed systems by mapping purity, composition and immutable data into distributed-friendly analogues. Covers monotonic functions as a substitute for pure functions, techniques for expressing dependencies and causality across machines, and performant distributed representations of functional data structures using general pseudocode rather than language-specific examples.

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" chapters (16)

1. 0:00Start
2. 13:59THE BREAKDOWN
3. 15:32MONOTONICITY
4. 17:13EXAMPLE: WEB PAGE HIT COUNTER
5. 18:48EXAMPLE: USER HIGH SCORES
6. 19:56EXAMPLE: TOP K LIST - IMPLICIT PARAM
7. 21:02TOP K LIST-REINTERPRETED
8. 23:26SUCCESS STORIES
9. 30:21IDEMPOTENCY
10. 32:07EXAMPLE: EXACTLY ONCE PROCESSING
11. 34:20EXAMPLE: CAUSALITY TRACKING
12. 49:58EXERCISE: COMBINING IDEAS
13. 56:18PURITY RECAP
14. 57:55OVERALL ROADMAP
15. 58:10IMMUTABILITY ON A SINGLE MACHINE
16. 59:12WHY DO WE LIKE IMMUTABILITY?

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