Extending dimensional modeling through the abstraction of data relationships and development of the semantic data warehouse

Date

2017-12-04

Authors

Hart, Robert

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Abstract

The Kimball methodology, often referred to as dimensional modelling, is well established in data warehousing and business intelligence as a highly successful means for turning data into information. Yet weaknesses exist in the Kimball approach that make it difficult to rapidly extend or interrelate dimensional models in complex business areas such as Health Care. This Thesis looks at the development of a methodology that will provide for the rapid extension and interrelation of Kimball dimensional models. This is achieved through the use of techniques similar to those employed in the semantic web. These techniques allow for rapid analysis and insight into highly variable data which previously was difficult to achieve.

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Keywords

Kimball, Star Schema, Health Information, Business Intelligence, Data Warehouse, RDF Triplets, Dimensional Model, Health Data Research

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