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YouTube

MapReduce and Distributed Computing for Data Mining - Spring 2023

UofU Data Science via YouTube

Overview

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Learn about MapReduce and distributed computing in this university lecture that explores cluster computing fundamentals and practical applications. Discover the motivations behind MapReduce, understand key challenges in cluster computing, and explore distributed file systems. Gain insights into how MapReduce works with PageRank algorithms and get introduced to community detection concepts. The comprehensive coverage progresses from basic distributed computing concepts to specific implementations, making complex distributed computing concepts accessible and practical.

Syllabus

Recording starts
Lecture starts
Deadlines
MapReduce motivation
Challenges of cluster computing
Distributed file system
MapReduce overview
MapReduce x PageRank
Community detection intro
Lecture ends

Taught by

UofU Data Science

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