RDBMS vs. MapReduce: Features

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From the course by University of Washington
Data Manipulation at Scale: Systems and Algorithms
589 ratings
University of Washington

Data Manipulation at Scale: Systems and Algorithms

589 ratings
Course 1 of 4 in the Specialization Data Science at Scale
From the lesson
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.

Meet the Instructors

  • Bill Howe
    Bill Howe
    Director of Research
    Scalable Data Analytics