ISIT 432 Data Repositories for Analytics • 5 Cr.


Students learn to create and query analytic databases including multi-dimensional databases (cubes) and ?big data? repositories. Students create business-oriented solutions for analytics. Prerequisite: ISIT 330 with a C or better.


After completing this class, students should be able to:

  • Analyze the different types of data repositories and their capabilities
  • Select the appropriate data repository for a given organizational scenario
  • Design and create multi-dimensional databases for data analysis
  • Evaluate and apply software tools for querying multi-dimensional databases
  • Design and create repositories for immense sets of data
  • Create queries to retrieve information from "big data" repositories
  • Analyze unstructured data for information retrieval