Big Data Analytics

CSE545 - Spring 2023

Slides are intended as an outline and visual aid for the lecture given in class. They are not a replacement for comprehensive note taking or for the readings.

• Topic 1: What is Big Data?
• Topic 2: Streaming Algorithms
• Topic 3: Hadoop: Distributed Architecture, HDFS, and MapReduce
• Topic 4: Spark: Resilient Distributed Datasets as Workflow System [ Poverty CSV Mean Example ]
• Topic 5: Neural Network Workflow Systems (PyTorch)
• Topic 6: Similarity Search
• Topic 7: Regressions to Transformers
• Topic 8: Large Scale Hypothesis Testing
• Topic 9: Recommendation Systems
• Topic 10: Time Series and Longitudinal Analysis

Slides from previous offerings of the class may be found here: Spring 2022, Spring 2019,
Warning: some content from these slides may be outdated.