Post on 23-Dec-2015
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Data Warehouse Development Lifecycle
Data Warehouse – Enterprise Data Warehouse
Data Mart – Departmental Data Warehouse
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Data Warehouse Development Lifecycle
Project Planning
Requirements Analysis
Physical Design
Logical Design
Data Staging
Data Analysis (OLAP)
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Data Warehouse Development Lifecycle Logical Design (Tool: Oracle Data Mart Designer)
ER Modeling Dimensional Modeling Design appropriate table structure and primary
key/Foreign key relationship
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Data Warehouse Development Lifecycle
Physical Design Database selection Storage selection Web based? Performance
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Data Warehouse Development Lifecycle
Data Staging (Tool: Oracle Data Mart Builder) Extraction Cleansing and Transformation Transportation
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Data Warehouse Development Lifecycle
Data Analysis (OLAP) (Tool: Oracle Data Mart Discoverer) Reporting Ad-hoc query Graphical Analysis
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Project Planning
Project Planning
Requirements Analysis
Physical Design
Logical Design
Data Staging
Data Analysis (OLAP)
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Project Planning
Feasibility Study – Assess readiness for your data warehouse project
Define the scope of your data warehouse project
Develop the project plan
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Project Planning – Feasibility Study
Factors that establish the foundation for a successful Data Warehouse project
Strong Management Support Compelling business motivation – e.g.,
customer-centric companies, acquisition IS/Business partnership
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Project Planning – DW Scope
Provide a single data source to support decision making
Include at lease n years of historical data
Support at least n concurrent users Provide better decision support
information using less time
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Project Planning – Project Plan
DW Team Staff Project Manager Business System Analyst Data Modeler DBA Data Staging System Developer End User Application Developer
Time & Milestones
Budget
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Requirements Analysis
Project Planning
Requirements Analysis
Physical Design
Logical Design
Data Staging
Data Analysis (OLAP)
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Requirements Analysis
Pre-Interview Research Identify Interviewees
Business Executive Business Unit Manager Key Staff
Ask Relevant Questions e.g., what analysis do you currently do? what
analysis do you plan to do? How much historical information do you need?