CS 660 Data Analysis at Scale 3.0 Credits
Focuses on systems and algorithms for scalable processing of large complex datasets. Consists of four thematic units: data preparation, including data cleaning and integration; distributed computation on MapReduce and Apache Spark; analysis of graph, network and spatiotemporal data; and analysis of streaming data.
Repeat Status: Not repeatable for credit
Prerequisites: CS 504 [Min Grade: C]