Course Description

CS 652 DATA SCIENCE ARCHITECTURE   3.0 Credit(s)
As the prolifération of data continues, Data-Driven Decision Making,  Machine Learning & Data Science continue to grow in importance.  To leverage data for these and other purposes, the architecture for data must support the proper ingestion, transformation, storage, and retrieval of data. In addition, data needs to be organized, catalogued, and stored to allow access by data scientists and other analytical users.  As technologists, we must consider many aspects of architecture.   This course will explore the various technologies and methodologies for ingestion, transformation, storage, and retrieval of data. Prerequisite: Take CS-650
Offered: All Semesters All Years