"Pleasingly Parallel" Algorithms

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Compétences que vous apprendrez

Relational Algebra, Python Programming, Mapreduce, SQL


4.3 (709 évaluations)
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Jan 24, 2016

Good! I like the final (optional) project on running on a large dataset through EC2. The lectures aren't as polished and compact as they could be but certainly a very valuable course.


Jun 20, 2017

Comprehensive and clear explanation of theory and interlinks of the up-to-date tools, languages, tendencies. Kudos and thanks to Bill Howe.\n\nHighly recommended.

À partir de la leçon
MapReduce and Parallel Dataflow Programming
The MapReduce programming model (as distinct from its implementations) was proposed as a simplifying abstraction for parallel manipulation of massive datasets, and remains an important concept to know when using and evaluating modern big data platforms.

Enseigné par

  • Bill Howe

    Bill Howe

    Director of Research

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