Fall Quarter 2024

Big Data Modeling & Analytics

Santa Clara University

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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 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

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 2024

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:

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Data Algorithms with Spark

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PySpark Algorithms

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Data Algorithms