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Relational and Dimensional Data Warehouse Design

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Summary:
This course provides students with the skills necessary to design a successful data warehouse using both relational and dimensional data modeling techniques.

Duration:
3 Days/Lecture & Lab

Audience:
This course is targeted at technical staff, team leaders and project managers who need to understand how to design a data warehouse using both relational (Bill Inmon style) and dimensional (Ralph Kimball style) data warehousing design techniques.

Topics:

  • Introduction
  • Fundamental Relational Concepts
  • Understanding the Business Model
  • Developing the Model
  • Creating and Maintaining Keys
  • Modeling the Calendar
  • Modeling Hierarchies
  • Modeling Transactions
  • Data Warehouse Optimization
  • Accommodating Business Change
  • Maintaining the Models
  • Deploying the Relational Solution
  • Comparison of Data Warehouse Methodologies

Prerequisites:
Students should have some knowledge of how to design a data base through at least third normal form (3NF) as well as some knowledge of how to code Structured Query Language (SQL).




Last Update: May 24, 2013