Course instructors: Prof. K. V. Subramaniam
Syllabus and Class Notes
| Unit | Syllabus | Vibha’s Notes |
|---|---|---|
| Unit 1 | Big data definition, Map-reduce, Storage (HDFS) | BD Unit 1.pdf |
| Unit 2 | Compute and Storage, Hadoop ecosystem, Pagerank, matrix multiplication, HIVE | BD Unit 2.pdf |
| Unit 3 | In-memory computation, Scala/PySpark programming model, Transformations and Actions, SQL, Spark architecture, RDD, DF, wide and narrow dependencies, complexity of BD algorithms | BD Unit 3.pdf |
| Unit 4 | Streaming analysis, Kafka, Bloom filters | BD Unit 4.pdf |
| Unit 5 | Advanced analytics on big data, clustering algorithms, collaborative filtering, scaling NNs for big data | BD Unit 5.pdf |