Barker, Kenneth E.Lam, Stephen2005-08-162005-08-162004Lam, S. (2004). Methodology to minimize cost and time for new data warehouse implementations (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/131930612975975http://hdl.handle.net/1880/41701Bibliography: p. 112-116A data warehouse's many different components make setting one up a non-trivial and expensive task (R.K. 98). This thesis describes a new light-weight data warehouse implementation methodology that minimizes cost and production time while ensuring the core requirements of a typical data warehouse system are included. The methodology enables fast initial development with scalable architecture for future growth. From a maintenance perspective, the methodology minimizes the ongoing data refresh cost. This is important because data refresh cost is the major maintenance cost in a typical data warehouse system. The data quality is also improved by using the methodology. The above advantages are due to the small team structure, single database architecture, metadata approach, data modeling approach, Extract Transformation and Loading (ETL) approach, tools selection and web portal presented in the methodology.viii, 116 leaves : ill. ; 30 cm.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.master thesis10.11575/PRISM/13193AC1 .T484 2004 L36