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Data Warehousing: An Introduction
 

This 2 day course provides:

the students with practical techniques for designing and implementing a data warehouse in DB2. This overview will give students a foundation for understanding data warehousing technology.

Topics Covered:

The corporate view of the data warehouse, data gathering, data relationships, data design techniques, modeling, populating, transforming, project methodologies, and metadata will be discussed.

Objectives:

  • Discussion of the Fundamentals and Terminology of data warehousing
  • Learning the Techniques of data gathering
  • Understanding Data relationships: Static and Time dependent
  • Weighing the Application Requirements
  • Using Modeling Tools
  • Transforming, Cleansing, Loading the data
  • Discussion of Methodologies for project management
  • Metadata, defined within the Data Warehouse

Duration: 2 days

Delivery: Class Lecture

Audience: 

This course is for Business Analysts that will participate in the data warehousing environment, Data Base Administrators, data designers who will be building the logical model, programmers that will be using the data warehouse and users that will be using the data warehouse that require more in depth knowledge of the data warehousing environment.

Prerequisites:

The student should have some familiarity with data modeling and data base design fundamentals.

Outline:

  1. Fundamentals and Terminology of Data Warehousing
  2. Overall information strategy
    Basic concepts and terminology
    Legacy systems, OLTP, OLAP, ODS, Data-Mart, Data                         Warehouse, Metadata
    Corporate View of the Warehouse
    Organization Roles and Responsibilities
    Example of a Data Warehouse

  3. Building a Data Warehouse:
  4. Methodologies for Project Management
    Guidelines for Success
    Proposal
    Design Team
    Design Plan
    Requirements Analysts
    Design Planning
    Business Requirements
    Database Design Life Cycle
    Using Modeling Tools
    Data Gathering
    Static and Time dependent data
    Data Relationships
    Application Requirements
    Data Models
    Change Control
    General System Requirements
    Documentation Requirements
    Metadata
    Transforming, Cleansing, Loading Data

  5. Physical Implementation in DB2
  6.  System Requirements
     Security
     Implementing a Physical Design
     Physical Implementation in OS/390
     Physical Implementation in AIX

  7. Using the Data Warehouse
  8. Vendor Products
    Training the users
    Products: Business Objects, Mircostrategies
    IBM, BMC


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