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LE/EECS 4415

Big Data Systems

3.0 credits

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