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mapreduce-osdi04.pdf
Preview of MapReduce 논문
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📊 Size: 186 KB
📄 Pages: 13 pages
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Summary

MapReduce is a programming model for processing large data sets, where users specify a map function to generate intermediate key/value pairs and a reduce function to merge these pairs. The system automatically parallelizes and executes the program on a large cluster of commodity machines, handling details like partitioning, scheduling, and fault tolerance. This allows programmers to easily utilize distributed systems without experience in parallel and distributed systems. The implementation is highly scalable, processing terabytes of data on thousands of machines, and is used extensively at Google, with hundreds of programs implemented and thousands of jobs executed daily.

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Description

MapReduce is a programming model for processing large data sets, where users specify a map function to generate intermediate key/value pairs and a reduce...

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  • File Format: PDF
  • File Size: 186 KB
  • Pages: 13
  • Language: EN
  • Total Downloads: 111
  • Last Updated: 2 hours ago

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This PDF document about MapReduce 논문 provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into MapReduce 논문.

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