| Week | Date | Lecture Topics | Reading Materials | Assignment |
|---|---|---|---|---|
| 1 | May 7, May 9 |
Parallel Processing Basics | Introduction, Parallel Processing Basics |
Begin Homework 1 |
| 2 | May 14, May 16 |
Distributed Services: Distributed File System, Resource and Application Management | Distributed System Services, Distributed File System, Resource and Application Management |
|
| 3 | May 21, no class on May 23 |
MapReduce and Spark Introduction | MapReduce and Spark | Homework 1 Due |
| 4 | May 28, May 30 |
Aggregation, Sort | Fundamental Techniques | Begin Homework 2 |
| 5 | June 4, June 6 |
Joins | Joins | Homework 2 Due |
| 6 | June 11, June 13 |
Common Algorithm Building Blocks | Common Building Blocks | Begin Homework 3 |
| 7 | June 18, June 20 |
Graph Algorithms | Graph Algorithms | Homework 3 Due |
| 8 | June 25, June 27 |
Data Mining 1 (K-Means, KNN) | Data Mining 1 | Begin Homework 4 |
| 9 | July 2, no class on July 4, Independence Day |
Data Mining 2 (Ensembles) | Data Mining 2 | Homework 4 Due |
| 10 | July 9, July 11 |
Intelligent Partitioning | Intelligent Partitioning | |
| 11 | July 16, July 18 |
Lineage, Spark SQL | More About Spark | |
| 12 | no class on July 23 for exam preparation, July 25 |
Exam | ||
| 13 | July 30, Aug 1 |
Exam Solutions, Spark Stream, CAP Theorem | Begin Project | |
| 14 | Aug 6, Aug 8 |
Spark MLlib, GraphX, HBase | Beyond MapReduce and Spark | Project Due |
| 15 | Aug 13, Aug 15 |
Hive | Project Presentations |