Data Warehouse Architecture and Models

Lesson 4
Data Warehouse
Architecture and Models

Objectives

Differentiate between an enterprise-wide data
warehouse and localized data marts

Recognize the difference between independent
and dependent data marts

Identify the data that is stored in a data
warehouse

Explain the features of each type of data by
examining where and why it is used

List the data models that may already exist in a
company and describe where they may be
useful to the warehouse model

Explain the two common data warehouse
models

Warehouse Architectures

Enterprise-wide solution

Data mart solution


Combined solution

Enterprise Data Warehouse Solution

Large warehouse
containing all business
data

Incremental
implementation

First increment provides
proof-of-concept

Funded at corporate level

Data Mart Solution

Independent

Use a consistent
approach

Avoid disjointed
development

Consider the big
picture


Dependent

Localization

Subsets of summary
data

Oracle Data Mart Suite
for a pre-configured
solution

Funded departmentally
Independent
Independent
Dependent
Dependent

Create a Project Team

Staff with experts

Database designers

Database administrators

Network specialists

ETT specialists

Project managers


Consider training plans

Identify the Data Requirements

Successful warehouses provide the right
information

Analyze business users’ needs

Interview users

Examine data needed

Ascertain data availability

Determine data frequency

Decide the refresh cycle

Types of Warehouse Data

Fact data - Measures

Dimension data - Query
drivers

Summary data - Pre-calculated
data

Fact Data and Tables

Many fact tables in the warehouse

The bulk of the warehouse data

Measures (units sold, sales figures, calls)

Millions of rows

Multi-part primary keys

Summaries

Normalized data

Partitioning Data


1992 1993
1992 1993
1991
1991
1994
1994

Breaking tables into smaller units

Horizontal or vertical