The Data Warehouse and
Design
Beginning with Operational
Data
Integration System
World
Wide
Web
Scientific Databases
Personal
Databases
Data/Process Models and the
Architected Environment

There are two types of model for the
information systems environment

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Data models
Process models
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Function decomposition
Context-level zero diagram
Data flow diagram
Structure chart
State transition diagram
HIPO chart
Pseudocode
The Data Warehouse and
Data Models
 The
data warehouse data model
 The midlevel data model
 The physical data model
The Data Model and Iterative
Development

The reason why iterative development is
important :
 The industry track record of success strongly
suggest it
 The end user is unable to articulate
requirements until the first iteration is done.
 Management will not make a full commitment
until actual results are tangible and obvious
 Visible results must be seen quickly
Normalization /
Denormalization
 Normalization
? Why ?
 Denormalization? Why ?
 The different between normalization and
denormalization
 Example
Meta Data

Meta data ?
 Typically items the meta data store tracks are
as follows :
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Structure of data as known to the programmer
Structure of data as known to the DSS analyst
Source data feeding the data warehouse
Transformation of data as it passes into the data
warehouse
Data model
Relationship between the data model and the
data warehouse
History of extracts
Cyclicity of Data-The Wrinkle
of time
 Cyclicity
 Example
of data ?
Complexity of Transformation
and Integration
 What
make complexity in transformation
and integration
 How to solve that problem.
Triggering the Data
Warehouse Record
 Events
 Components
of the Snapshot
 Some Examples
Profile Records
 Profile
Records ?
 Example
Managing Volume
 How
to managing volume of data
 Why must managing volume of data
Creating Multiple Profile
Records
 How
to create multiple profile records
 Example
Going from the Data
Warehouse to the Operational
Environment
 What
the different between the
operational environment and the data
warehouse environment
Direct Access of Data
Warehouse Data
 What
is direct access of data
warehouse data
 Example
Indirect Access of Data
Warehouse Data
 What
is indirect access of data
warehouse
 Example
Indirect Use of Data
Warehouse Data
 What
is indirect use of data warehouse
data
 Example
Star Joins
 What
is star joins ?
 Why using star joins ?
 How to use star joins ?
 Example
Supporting the ODS
 What
is ODS
 Different between level 1,2,3 and 4