Introduction to Data Warehouse - DW00 ( 1 Day )

Price:  $600.00




Course Outline

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Abstract/Overview

This seminar explains the key concepts of Data Warehousing and examines the architectural choices, delivery techniques, and enabling technologies most effective for Data Warehouse delivery.

Audience - Who Should Attend?

Business and systems analysts who will be attending the Data Warehouse Design Workshop; business managers who are responsible for the planning and management of Data Warehouse projects; user managers who want to know how Data Warehousing will help them.

Prerequisite

No systems development experience is assumed, however, a basic understanding of Information Technology would be helpful.

Objective

  • Understand the characteristics of Data Warehouses that distinguish them from operational databases.
  • Examine the architectural alternatives for implementing Data Warehouses and Data Marts.
  • Learn the benefits of using the RAD approach for Data Warehouse development.
  • Understand the importance of Metadata in the success of the warehouse initiative.
  • Learn the hardware and software architecture options to be considered when implementing the warehouse.
  • Be able to make important decisions and resolve issues that affect the implementation and management of the warehouse.

Content

Introduction

  • Objectives and Success Factors of Today's Business
  • IT Challenges
  • Data Warehousing: A Strategic Solution
Data Warehouse Characteristics
  • Role of the Data Warehouse
  • Data Warehouse vs. Operational Database
  • Basic Data Warehouse Characteristics
  • Data Mart vs. Data Warehouse
Data Warehouse Architecture
  • Effective vs. Ineffective Architectures
  • Evaluating Architectural Alternatives
  • Understanding Data Warehouse Users
  • Selecting the Right Architecture
Methodology Overview
  • Rapid Application Development
  • Gathering User's Requirements
  • Data Warehouse Analysis
  • Data Warehouse Design
Metadata
  • What is Data Warehouse Metadata?
  • Role of Metadata
  • Types of Metadata
  • Metadata Repository
  • Practical Considerations
Warehouse Technology
  • Typical Components
    • Data Extraction
    • Data Transformation
    • Data Cleansing
    • Date Loading
    • Data Storage
    • Data Access
  • Issues and Alternative Tools for the Components
  • Operational Issues
Management and Implementation of the Data Warehouse
  • Important Decisions
  • Critical Success Factors
  • Obstacles to Success
  • Team Dynamics and Composition
  • Monitoring the Data Warehouse
  • Selling the Concept



Course Schedule

Start DateLocationClass CodeDuration (days)
Wed, Sep 22 2010OttawaP361721
Thu, Sep 23 2010TorontoP361661
    




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