Data Warehouse Methodology Overview

Data Warehouse Methodology Overview

This course provides an overview of the methodology needed to develop a data warehouse within a Corporate Information Factory program. The material first focuses on the program orientation needed for decision support efforts, and the activities included within this phase. The development process for each project is then described, with the process being divided into four major phases: Project Definition, Getting Information Out, Getting Data In, and Deployment. The on-going administration and operation activities needed to sustain the program are then described.

Objectives

Understand the differences between the data warehouse methodology and the methodology used for traditional systems
Understand the importance of
Understand the importance of approaching the Corporate Information Factory as a program
Understand the four major phases for each data warehouse project and the key activities and roles and responsibilities
Learn the critical steps needed to manage the data warehouse and data marts

Duration ½ day

Prerequisite None

Course Format Lecture

Instructor Claudia Imhoff or Jonathan Geiger or David Gleason or Joyce Norris-Montanari