BIG DATA ANALYTICS

Course Code:
CIS 551
Active Term:
Spring
/ All
Course Description:

This course is an overview of Hadoop, MapReduce, and Hadoop Tools. Considerable attention will be given first to Hadoop installation, both on the desktop and in the cloud. Students will learn how to navigate the Hadoop Distributed File System, and they will develop understanding of the MapReduce algorithm. Practice in writing MapReduce programs will be provided. The second half of the course will be devoted to essential Hadoop tools, including Pig, Hive, Flume, Sqoop, and Hbase. Programming experience is a prerequisite, and experience with Java and Unix will be helpful.

Credit:
3
Instruction methods:
Lecture
Total hours: 45