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The Data Warehouse and Design

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Presentation on theme: "The Data Warehouse and Design"— Presentation transcript:

1 The Data Warehouse and Design

2 Beginning with Operational Data
Integration System Scientific Databases World Wide Web Personal Databases

3 Data/Process Models and the Architected Environment
There are two types of model for the information systems environment Data models Process models Function decomposition Context-level zero diagram Data flow diagram Structure chart State transition diagram HIPO chart Pseudocode

4 The Data Warehouse and Data Models
The data warehouse data model The midlevel data model The physical data model

5 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

6 Normalization / Denormalization
Normalization ? Why ? Denormalization? Why ? The different between normalization and denormalization Example

7 Meta Data Meta data ? Typically items the meta data store tracks are as follows : 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

8 Cyclicity of Data-The Wrinkle of time
Example

9 Complexity of Transformation and Integration
What make complexity in transformation and integration How to solve that problem.

10 Triggering the Data Warehouse Record
Events Components of the Snapshot Some Examples

11 Profile Records Profile Records ? Example

12 Managing Volume How to managing volume of data
Why must managing volume of data

13 Creating Multiple Profile Records
How to create multiple profile records Example

14 Going from the Data Warehouse to the Operational Environment
What the different between the operational environment and the data warehouse environment

15 Direct Access of Data Warehouse Data
What is direct access of data warehouse data Example

16 Indirect Access of Data Warehouse Data
What is indirect access of data warehouse Example

17 Indirect Use of Data Warehouse Data
What is indirect use of data warehouse data Example

18 Star Joins What is star joins ? Why using star joins ?
How to use star joins ? Example

19 Supporting the ODS What is ODS Different between level 1,2,3 and 4


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