MSAN 694 - Distributed Computing

Credits: 2

Students learn the MapReduce technique of distributed computing. The fundamental principles are first learned with the Python multiprocessing library, in which students build their own con-current MapReduce framework. Considerable time is spent exploring practical application of mapping and reducing for various types of real world data. Distributed statistical and machine learning approaches are explored. Finally, Hadoop streaming MapReduce jobs (in Python) are launched on AWS-EMR.

Restriction: Restricted to Graduate level; Restricted to Analytics Majors SC