Data warehouses must homogenise and integrate data from an organisation's areas to extract relevant knowledge for orientating decision-making. This is not an easy task, which is why several approaches have been developed which can be classified according to how information is obtained: supply-driven, demand and a hybrid of the first two. This study offers a conceptual framework and a chronological study of the approaches adopted according to the paradigm used, providing a comprehensive context for better understanding the current state of data warehouses and their evolution.
CITATION STYLE
Cravero, A., & Sepúlveda, S. (2012). A chronological study of paradigms for data warehouse design. Ingenieria e Investigacion, 32(2), 58–62. https://doi.org/10.15446/ing.investig.v32n2.31941
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