MapReduce
programming model for efficient queries over huge datasets, introduced by Google
What podcasters actually say about MapReduce.
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Common Themes
Videos Mentioning MapReduce
Things That Don't Scale, The Software Edition – Dalton Caldwell and Michael Seibel
Y Combinator
A programming model developed by Google to process large data sets in parallel, created out of necessity when their original indexing process failed due to the web's rapid growth.
E156: Ivy League antisemitism, macro, SaaS recovery, Gemini, Figma deal delay + big Friedberg update
All-In Podcast
A programming model and algorithm for processing large data sets, part of Jeff Dean's notable technical contributions.
Work at a Startup Expo 2019
Y Combinator
A programming model used by HealthSherpa for scalable backend data products, indicating their handling of large datasets.
What Happens After A 1,000,000x AI Compute Leap? | Jeff Dean
Two Minute Papers
A programming model that taught thousands of computers to work together as one.
Seattle Conference on Scalability: Abstractions for Handling Large Datasets
GoogleTalksArchive
A programming model and system for processing large datasets in parallel across a cluster of computers, abstracting away complexities of distributed computation and failure handling.
Jeff Dean: The 1% Rule for Building in AI
Y Combinator
A programming model for processing large data sets with a computer cluster in a distributed manner. It was foundational for distributed computing at Google and was developed by Jeff Dean, Sanjay Ghemawat, and others.