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Lecture
MapReduce: Execution Models for Distributed Computing
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.
Official source
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