Big Data Analytics

CSE545 - Spring 2022

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.

Part I: Big Data Systems

• 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: Distributed TensorFlow

Part II: Big Data Algorithms and Analyses

• Topic 6: Similarity Search
• Topic 7: Link Analysis
• Topic 8: Recommendation Systems
• Topic 9: Large Scale Hypothesis Testing
• Topic 10: Large-Scale Machine Learning, Ethics, Useful Plots

Slides from future and previous offerings of the class may be found here: Spring 2023 Spring 2020, Spring 2019,
Warning: some content from these slides may be outdated.