Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.

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1
Data Warehousing
DWH Implementation: Goal Driven Approach (1)
Ch Anwar ul Hassan (Lecturer)
Department of Computer Science and Software
Engineering
Capital University of Sciences & Technology, Islamabad
Pakistan
anwarchaudary@gmail.com

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2
Kimball’s Approach
Business Dimensional Lifecycle Road map
Data Warehouse (DWH) Lifecycle
Project
Planning
Deployment
Maintenance
and
Growth
Project Management
Business
Requirement
Definition
Analytic
Application
Specification
Analytic
Application
Development
Dimensional
Modeling
Data Staging
Design &
Development
Technical
Architecture
Design
Product
Selection &
Installation
Physical
Design

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3
DWH Lifecycle: Key steps

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DWH Lifecycle- Step 1: Project Planning

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DWH Lifecycle- Step 1: Project Planning

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DWH Lifecycle- Step 1: Project Planning

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Establishing the core team

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DWH Lifecycle- Step 1: Project Planning

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DWH Lifecycle- Step : 2 Requirements Definition

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DWH Lifecycle- Step:2 Requirements Definition

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DWH Lifecycle- Step:2 Requirements Definition

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DWH Lifecycle- Step:2 Requirements Definition

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DWH Lifecycle- Step:2 Requirements Definition

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DWH Lifecycle- Step:2 Requirements Definition
 Post Collection
 Prioritization
 Review & Prioritize findings
 Quadrant Technique
Business
Process B
Business
Process D
Business
Process A
Business
Process C
Business
Impact
Feasibility

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15
Kimball’s Approach
Business Dimensional Lifecycle Road map
Data Warehouse (DWH) Lifecycle
Project
Planning
Deployment
Maintenance
and
Growth
Project Management
Business
Requirement
Definition
Analytic
Application
Specification
Analytic
Application
Development
Dimensional
Modeling
Data Staging
Design &
Development
Technical
Architecture
Design
Product
Selection &
Installation
Physical
Design

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Technical Architecture Design

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17
Technical Architecture Design: More

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DWH Lifecycle- Step 3.1:Technology Track

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DWH Lifecycle- Step 3.3: Analytic Applications Track

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DW Lifecycle- Step 4: Deployment

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DW Lifecycle- Step 5: Maintenance and Growth