BAN 632 - Big Data Technology and Applications

Units: 3
Key technologies and applications for big data analytics. Topics include: distributed file systems, big data input/output, streaming technologies, techniques for parallel processing, and big data application development.

Prerequisites: BAN 601 and BAN 610.
Equivalent Quarter Course: ITM 6273.
Possible Instructional Methods: Entirely On-ground, or Hybrid.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Analyze technical components of big data technologies such as distributed computing.
Apply advanced applications and technologies for effective data processing and analysis.
Develop the knowledge and skills for manipulating, storing, and analyzing big data in a project setting.