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BAN 273 - Advanced Techniques for Business Analytics
Semester Hours: 3
Fall, Spring
This course is designed to allow students to explore big data architecture, storage, and processing techniques for managing large data sets. This course focuses on understanding and implementing the Hadoop platform which is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. Topics covered in this course include HDFS framework, Hadoop Architecture, MapReduce programming, Pig, and Hive. In this course, students will get practical, hands-on experience by installing Hadoop systems, writing MapReduce programs to handle large size data, and performing data analytics using Pig and Hive.
Prerequisite(s)/Course Notes:
BAN 203 and IT 270 .
View Course Offering(s):
Summer I 2025
Summer II 2025
Summer III 2025
Fall 2025
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