Large-Scale-Data-Management

Syllabus

1. Introduction, Revisiting Relational Model and Querying
2. Reliable, Scalable, and Maintainable Applications
3. Consistency and Replication
4. Consistency and Replication (cont.)
5. Consistency Models: ACID, BASE, and the CAP Theorem
6. No Lecture (Public Day)
7. Data Partitioning
8. NoSQL Databases (Paper Presentations)
9. Batch Processing (Paper Presentations)
10. MapReduce, Apache Spark, Hadoop (Paper Presentations)
11. Midterm
12. LLM and Data Management (Paper Presentations)
13. LLM and Data Management (cont.) (Paper Presentations)
14. LLM and Data Management (cont.) (Paper Presentations)
15. Future of Large-Scale Data Management (Paper Presentations)