Data Warehouse Database Design

Description:

In this course, students are presented with the basic concepts, fundamental issues, and techniques for the design of a data warehouse or data mart. Students examine all phases and tasks of the data warehouse design process, including business modeling, entity relationship diagramming, dimensional modeling, physical modeling, and warehouse meta data management. Participants use a case study to apply these concepts and methods. Group discussions and practices are included.

Audience:

Database Administrators
Data Warehouse Administrator

Objectives:

• Describe the role of meta data in data warehouse design and strategies to define and maintain meta data
• Use entity relationship diagrams to transform the business model into a dimensional model
• Define the process of designing a data warehouse database model
• Transform the dimensional model into a physical data design
• Understand multidimensional query concepts
• Evaluate summaries and understand the value of materialized views
• Explain the central concepts of dimensional data models
• Analyze and transform business requirements into a business model

Prerequisites:

Required Prerequisites:
In-depth understanding of data warehousing concepts
Familiarity with data modeling and relational database design

Topics:

Reviewing Data Warehouse Basics
Describing the features and characteristics of a data warehouse
Identifying the components and functionality of an Oracle data warehouse environment using the Common Warehouse Model

Defining the Business & Logical Models
Describing the enterprise level strategic analysis tasks
Defining components of business modeling

Creating the Dimensional Model
Describing attributes of a star model
Identifying fact tables and their attributes from business measure entities

Creating the Physical Model
Translating the dimensional model into a physical model
Discussing the architectural requirements for the data warehouse

Storage Considerations for the Physical Model
Explaining data warehouse sizing techniques and test load sampling
Describing data warehousing indexing types and strategies

Strategies for Extracting, Transforming, and Transporting
Outlining the extraction, transformation, and transportation processes for building a data warehouse
Identifying extraction, transformation, and transportation issues

Summary Management
Discussing summary management and Oracle implementation of summaries
Describing materialized views

Analytical Capabilities
Defining Business Intelligence (BI)
Understanding the categories of BI and their use within the data warehouse