MISY 435 - Advanced Data Technologies

Credit(s): 3

ADVANCED DATA TECHNOLOGIES
Component: Lecture
This course covers essential knowledge of processing big data. Suggested topics include the distributed file system for storing big data, the MapReduce framework for processing big data and its realization such as Hadoop, as well as the ETL process (i.e., extracting, transforming and loading data).
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: MISY 330.

General Education Objectives:
GE1A: Read Critically GE1B: Analyze Arguments and Information GE1C: Engage in Constructive Ideation GE2A: Communicate Effectively in Writing GE2B: Communicate Orally GE3A: Work Collaboratively Across Cultures GE3B: Work Independently Across Cultures GE5A: Reason Quantitatively GE5B: Reason Computationally