LE/EECS 4415
Big Data Systems
Fall 2026
Topics
- Large-scale data systems
- PageRank
- MapReduce
- Spark SQL
- data streams
- frequent items
- data privacy and ethical applications
Readings
- Listed text: Leskovec, Rajaraman and Ullman, Mining of Massive Datasets, 3rd ed. (2020), https://www.mmds.org/.
- Assigned readings publicly listed: Brin and Page (1998), The anatomy of a large-scale hypertextual web search engine; Dean and Ghemawat, MapReduce: simplified data processing on large clusters; Armbrust et al. (2015), Spark SQL: Relational Data Processing in Spark; Klavens, Bogdanich and Vrentas (2026), How DraftKings Uses A.I. to Target the Gamblers Likeliest to Lose; McLeod (2020), Double-double tracking: How Tim Hortons knows where you sleep, work and vacation; Cormode and Hadjieleftheriou (2008), Finding Frequent Items in Data Streams.
Sources
- Course catalogue ↗2026–2027
- Public course website / syllabus ↗Fall 2026
- The live reading list can grow during the term; some linked article copies require authentication.