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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.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: CS 520 [Min Grade: C] and CS 570 [Min Grade: C] and CS 571 [Min Grade: C]

Peace Engineering

...SYSE 690 , EGMT 660 (optional) Software Development : CS 520 , CS 570 , CS 571 (optional) Machine...

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