ITM 321 Big Data Ecosystems
Introduces students to data frameworks supporting the building and manipulation of data sets that do not fit the standard relational database structure, i.e. very large data files and unstructured data. Students will learn how data from these data sets can be extracted, and transformed for workable solutions. They will be introduced to a selection of the tools and languages associated with building and managing Big Data structures, such as Hadoop, Hive, Spark, MapReduce, NOSQL, MongoDB, and others. Prerequisite(s): ITM 300 . Cross-listed with and equivalent to: MSBA 321 .
View the Fall 2019 course schedules: