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INFO640 - Data Warehousing and Decision Support Systems

 

This course appraises emerging data warehousing technologies that play a strategic role in giving business organizations the competitive edge. This course assesses phases, processes, strategies, deliverables, and challenges of the extract, transform, and load (ETL) process to populate data warehouses to enable data analysis. It analyzes the principles of data modeling for multi-dimensional databases and it assesses the processes, practices, and tools of Master Data Management (MDM) to aggregate, assure quality, persist and distribute data. It examines data mining techniques and the process used to facilitate decisions and to find patterns and relationships in data. The course analyzes the principles of decision sciences, decision support systems and architectures, decision process models, computer-supported decision making, decision tables, and decision trees, and applies these principles to improve organizational performance

 

Prerequisites

N/A

Corequisites

N/A

Schedule of Classes

Registration Dates Course Dates Session
12/31/18 - 05/31/19 06/03/19 - 07/28/19 Spring 2019 Session D - 8 Week session

Course Materials

Previous Syllabi

Book Title: Data Warehouse Design: Modern Principles and Methodologies
ISBN: 9780071610391
Publication Info: Golfarelli, Matteo / Rizzi, Stefano
Author: Golfarelli, Matteo / Rizzi, Stefano
Unit Cost: $57.40
Electronic ISBN: N/A
Electronic Unit Cost: N/A