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Hog is a Map Reduce language written for Columbia's CS 4115 Programming and Language Translators course.

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Hog

Hog is a data-oriented, high-level, scripting language for created MapReduce programs used with Hadoop for distributed computation. It provides users with an intuitive interface designed to allow users to focus on what computations they want done, and not how to do them. Built on top of the Hadoop framework, Hog takes care of the low-level details required to run computation on Hadoop’s distributed network. All a user needs to do is run their Hog scripts on a computer with access to a valid Hadoop instance, and Hog will do the rest.

Team

  • Sam (Project Manager)
  • Paul (Language Guru)
  • Ben (System Architect)
  • Kurry (System Integrator)
  • Jason (Testing/Validation)

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Hog is a Map Reduce language written for Columbia's CS 4115 Programming and Language Translators course.

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