Lecture

MapReduce: Execution Models for Distributed Computing

In course

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Description

This lecture introduces the MapReduce programming model for distributed computing, focusing on its vision, sample applications like word-count, and under-the-hood mechanisms like shuffling and reducing. It discusses the simplicity and complexity of distributed computation, the challenges with MapReduce, and its impact on big data processing.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_hjnqww61

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Ontological neighbourhood

Computer engineering

High-performance computing: Parallel computing

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