Fall Quarter 2025

Big Data Modeling & Analytics

Santa Clara University

1. Course Information:

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 ISBA2413: Big Data Modeling & Analytics
• Graduate School, Leavey School of Business
• Department of Information Systems & Analytics
• Class room: 306 Lucas Hall (LH)
• Office: 316U, Lucas Hall (LH)
• Office Hours: via scheduled Zoom and by appointment

2. Class Meeting Dates & Hours

3. Instructor, Adjunct Professor: Mahmoud Parsian

4. Prerequisite

5. Course Description

6. Course Outline

7. Glossary of Big Data, MapReduce, Spark

8. Required Books and Papers

9. Optional Books and References

10. Required Software: MapReduce & Spark/PySpark

11. Syllabus, Fall Quarter 2025

12. Grading and Class Conduct

13. Python Tutorials

14. SQL Tutorials

15. MapReduce Tutorials

16. PySpark Tutorials

17. Office Hours

18. Exam 1 & Exam 2

19. Final Exam

20. Mahmoud Parsian's Latest Books:

Data Algorithms with Spark

PySpark Algorithms

Data Algorithms