数据仓库培训课程(Fundamentals of Data Warehousing)

biz25

Course Specifications

Course number: 085715
Course length: 0.5 day(s)

Course Description

Course Objective: You will describe the fundamentals of data warehousing.

Target Student: This course is intended for people involved in the data quality or data governance process, application development, project teams, IT managers, and project managers needing knowledge of various aspects or the basic fundamentals of data warehousing.

Prerequisites: There are no specific prerequisites for this course other than basic familiarity with databases.

Hardware Requirements

The instructor’s computer should have the following hardware configured:

  • Intel® Pentium® IV 300 MHz processor
  • 64 MB of RAM with 1.0 GB of free hard disk space
  • CD-ROM drive
  • Super VGA recommended (set at least to 800 x 600 screen resolution) with 256 colors
  • Internet connection

Software Requirements

Each computer requires the following software:

  • Microsoft® PowerPoint® 2000 or later.

Course Objectives

Upon successful completion of this course, students will be able to:

  • identify the need for data warehouses as well as their general components, structure, and functions.
  • describe enterprise data.
  • describe data warehouse design and modeling.
  • describe the data warehousing architecture.
  • describe the business value of data warehousing.

Course Content

Lesson 1: Understanding a Data Warehouse

Topic 1A: Introduction to Data Warehousing
Topic 1B: Types of Databases
Topic 1C: OLTP and OLAP

Lesson 2: Understanding Enterprise Data

Topic 2A: Data Sources of a Data Warehouse
Topic 2B: Characteristics of Data in a Data Warehouse

Lesson 3: Data Warehouse Design and Modeling

Topic 3A: Data Warehouse Design
Topic 3B: Dimensional Model Schemas

Lesson 4: Understanding the Data Warehousing Architecture

Topic 4A: Extract, Transform and Load Data
Topic 4B: Data Storage and Presentation

Lesson 5: Identifying the Business Value of Data Warehousing

Topic 5A: Understand Applications of Data Warehousing
Topic 5B: Understand Data Mining

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