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Category: Science and Technology
Date Submitted: 04/18/2012 08:53 AM
Virtual Data Warehouse (VDW) Architecture & Implementation Strategies
Debbie Godwin Daniel Ng Monica Silcott
Purpose of Research
Show the benefit of providing a well planned architecture in building of your virtual data warehouse (VDW) Show how to determine best practice architecture choices resulting in performance improvements per institutions data volume
“Every data warehouse has an architecture….It's either ad hoc or planned; implied or documented. Unfortunately, many warehouses are developed without an explicit architectural plan, which severely limits flexibility and scalability.”
Introduction
Long Term Goals Architectural Decisions HMORN Architecture Best practices Sources 8 Phases Technically Assessing Your Choices S&W Strategy KPNC Strategy Performance Benchmarking
Long Term Goals
Importance of Defining the Project Long Term Goals Big Picture
What’s Your
Architecture Decisions
Who is making your architecture decisions? Systems Architect ? Management ? No One ? If you do not have the skills and expertise to make these decisions: Bring it in (Hire dedicated skill set) Communication is critical to establishing best practices from an architectural and implementation stand-point
Pay attention to your BUILD
Without solid architecture, projects lack the firm foundation and robust structure on which to build
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The system architect can design a system to perform in an optimized environment, producing robust data and customer satisfaction
HMORN Architecture
Constraints
Budget Staff, Expertise & Skills Sources Size of Data (Storage) Current & Estimated Growth Current Hardware & Software
Size of Data Software Software Sources
Staffing
Skills
Budgets
Considerations
System Architecture:
Service Strategy
Hardware & Software Choices RDBMS (Relational Database Management System) Data Storage Data Cleansing Tool
Hardware Software interface
RDBMS
Query/Analysis Tool Maintenance/Service Strategy
Best Practices
VDW system...