This course is about big data and its role in carrying
out modern business intelligence for actionable insight
to address new business needs. This course is a lab-led
and open source software rooted course. Students will
learn the fundamentals of MapReduce, Spark framework,
NoSQL databases, PySpark, and Amazon Athena. The class
will focus on the storage, processing, and analysis
aspects of big data. Students will use Spark cluster
and MapReduce fundamentals to solve big data problems.
- Course MSIS 2427/2527: Big Data Modeling & Analytics
- Graduate School, Leavey School of Business
- Department of Information Systems & Analytics
- Class room: 206 Lucas Hall (LH)
- Office: 316U, Lucas Hall (LH)
- Office Hours: via scheduled Zoom and by appointment
4. Prerequisite
13. Python Tutorials
14. SQL Tutorials
17. Office Hours
18. Exam 1 & Exam 2
19. Final Exam
