Procedures in Building a Data Warehouse

Chapter 10 of Building a Better Data Warehouse (Meyer & Cannon, 1998) discusses in generalities some of the reasons that an organization might decide to develop a data warehouse. Chapter 10 also included a summary of problems that developers must solve in order to create an effective data warehouse. One of the problems requiring the development of solution for the creation of an effective data warehouse involves making it possible for the end user of a data warehouse to find, display, and analyze information for use in organizational decision-making and the resolution of issues. This research reviews the procedures presented in Building a Better Data Warehouse for application in solving this problem.

Meyer and Cannon (1998) deal with this issue in Chapter 8 of Building a Better Data Warehouse. The initial step is to select the appropriate end user tool for the development of the end user architecture in the data warehouse. Meyer and Cannon (1998) recommend the selection of "sophisticated query and reporting tools with a descriptive set of meta data" an

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Some common words found in the essay are:
Meyer Cannon, Meta Data, Database KDD, Data Warehouse, data warehouse, data mining, meyer cannon 1998, cannon 1998, meyer cannon, cannon 1998 93, Building Data, building data warehouse, building data, 1998 93, RESOLUTION Chapter, OLAP ROLAP, Prentice-Hall PTR, data mining tools, effective data warehouse, easily understood, rule induction, neural networks, data visualization,
Approximate Word count = 782
Approximate Pages = 3 (250 words per page)

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