DATA301 (2021-S1)

Big Data

All Files in ‘DATA301 (2021-S1)’ Merged

01-02. Introduction

03. Scalability, Programming, and Algorithms in Spark

04. Algorithms and Cloud Computing

05. Cloud Computing, Performance - Cost and Complexity

06. Performance: Cost and Complexity, Frequent Itemsets

07. Frequent Items, Association Rules, Similarity

08. Similarity and Hashing

09 Graph Structures, PageRank and TrustRank

10. TrustRank, Recommendation Systems, Social Network Graph Analysis

11. Community Detection and Online Graph Algorithms

12. Spark MMDS Wrap-up

13 - 14. Parallel Computing

15. Parallel Computing

16-18. Python MPI

18-20. GPU-Based Programming Concepts

21. Raft Consensus Algorithm

22. Final Lecture

Exam Notes