Building data warehouse is not different than executing other development project such as front-end application. you need to be technical and business person who understand technical details along with organizations business to successfully design and implement data warehouse project.. Data warehouse project life cycle executing a data warehousing 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 :phases in life cycle this is the end-to end process of an application in the organization (from requirements gathering to production support). there are 4 phases in the life-cycle.
Data warehouse design methodology definition the term data warehouse life-cycle is used to indicate the phases (and their relationships) a data warehouse system goes through between when it is conceived and when it is no longer available for use.. Since then, it has been successfully utilized by thousands of data warehouse and business intelligence (dw/bi) project teams across virtually every industry, application area, business function, and technical platform. originally referred to as the business dimensional lifecycle approach, this moniker reinforced our method�s core tenets:. This tutorial makes key note on the prominence of data warehouse life cycle in effective building of data warehousing. for in-depth information, read more! this tutorial makes key note on the prominence of data warehouse life cycle in effective building of data warehousing. for in-depth information, read more!.
