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Spring 2013 Semester
Apr 16, 2014
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 6240 - 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. CS 5800 or permission of instructor.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

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

Prerequisites:
Graduate level CS 5800 Minimum Grade of C-

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