The document discusses methodologies for the data warehouse lifecycle. It covers common development methodologies like the waterfall model and spiral model. It also covers rapid application development (RAD) and keys to its successful use. The document emphasizes starting a data warehouse project by defining the specific problems it will solve, how success will be measured, managing time and money, and skills required. It presents a common data warehouse lifecycle model of design, prototype, operate, enhance, and deploy phases.

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Data WarehousingData Warehousing
Lecture-32Lecture-32
DWH Lifecycle: MethodologiesDWH Lifecycle: Methodologies
Virtual University of PakistanVirtual University of Pakistan
Ahsan Abdullah
Assoc. Prof. & Head
Center for Agro-Informatics Research
www.nu.edu.pk/cairindex.asp
National University of Computers & Emerging Sciences, Islamabad
Email: ahsan101@yahoo.com

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DWH Lifecycle: MethodologiesDWH Lifecycle: Methodologies

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Data Warehouse vs. Typical ISData Warehouse vs. Typical IS

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DWH & SW EngineeringDWH & SW Engineering

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Implementation strategiesImplementation strategies

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Development methodologiesDevelopment methodologies

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Waterfall ModelWaterfall Model

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Spiral ModelSpiral Model

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Rapid Application Development (RAD)Rapid Application Development (RAD)

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5 Keys to successful RAD5 Keys to successful RAD

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Development MethodologiesDevelopment Methodologies

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Development MethodologiesDevelopment Methodologies

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Development MethodologiesDevelopment Methodologies

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Where do you start from?Where do you start from?
What specific problems the DWH will
solve?

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Where do you start from?Where do you start from?
What criteria use to measure success?

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Where do you start from?Where do you start from?
How to manage time and money?

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Where do you start from?Where do you start from?
What skills are required?

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DWH Life Cycle ModelDWH Life Cycle Model
DESIGN
PROTOTYPE
OPERATE
ENHANCE
DEPLOY