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Spring 2013 Semester
Apr 20, 2014
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CS 4240 - Parallel Data Processing in MapReduce
Introduces the MapReduce programming model and the core technologies it relies on in practice, such as a distributed file system and the distributed consensus protocol. Also discusses related approaches and technologies from distributed databases and cloud computing. Emphasizes practical examples and hands-on programming experiences. Examines both plain MapReduce and database-inspired advanced programming models running on top of a MapReduce infrastructure. Prereq. (a) CS 3600 or CS 5600 or permission of instructor and (b) CS 4800 or CS 5800 or permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
Computer&Info Sci

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
(Undergraduate level CS 3600 Minimum Grade of D- or Undergraduate level CS 5600 Minimum Grade of D- or Graduate level CS 5600 Minimum Grade of C-) and (Undergraduate level CS 4800 Minimum Grade of D- or Undergraduate level CS 5800 Minimum Grade of D- or Graduate level CS 5800 Minimum Grade of C-)

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