Data Warehouse Project Life Cycle
Data Warehouse Project Life Cycle:
Executing a data warehouse project is not different than executing any other development project. However one needs to be very structured and methodical in order to execute a project and making it a big success. Data warehouse project manager needs to be technical and business person who understand technical details along with organizations business. Following are the steps generally followed in data warehouse project.
Problem Analysis and Definition
Requirement Gathering and Analysis
Prototyping
Environment Setup
Design and Development
Testing
Deployment
Enhancements and Helpdesk
Executing a data warehouse project is not different than executing any other development project. However one needs to be very structured and methodical in order to execute a project and making it a big success. Data warehouse project manager needs to be technical and business person who understand technical details along with organizations business. Following are the steps generally followed in data warehouse project.
Problem Analysis and Definition
Requirement Gathering and Analysis
Prototyping
Environment Setup
Design and Development
Testing
Deployment
Enhancements and Helpdesk
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