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Jun 16, 2024
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INFX 533 - Cloud Computing and Big Data Applications Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0
Introduction to applied parallel computing using the MapReduce programming model facilitating large scale data management and processing. Emphasis on hands-on experience working with the Hadoop architecture, an open-source software framework written in Java for distributed storage and processing of very large data sets on computer clusters. Also, the use of related big data technologies from the Hadoop tool environment, such as Hive, Impala, and Pig in developing analytics and solving problems faced by enterprises today.
Prerequisite(s): INFX 501 , INFX 502 , INFX 510 , INFX 531 , and INFX 540
Restriction(s): Admission to the Master’s in Informatics program, or permission of Graduate Coordinator required
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