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| Conception de cube OLAP× | Entreposage de données× | |
|---|---|---|
| Domaine | Systèmes d'information | Systèmes d'information |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1993 | 1992 |
| Auteur d'origine≠ | E. F. Codd and colleagues (Arbor Software) | William H. Inmon and Ralph Kimball |
| Type≠ | Analytical data structure design | Data system architecture |
| Source fondatrice≠ | Codd, E. F., Codd, S. B., & Salley, C. T. (1993). Providing OLAP to user-analysts: An IT mandate. Arbor Software. link ↗ | Inmon, W. H. (1992). Building the Data Warehouse. New York: QED Technical Publishing. link ↗ |
| Alias | OLAP, multidimensional cubes | warehouse, DW design |
| Apparentées≠ | 1 | 2 |
| Résumé≠ | OLAP (Online Analytical Processing) cube design is the practice of structuring multidimensional data for interactive analysis. Formalized by Codd and colleagues in 1993, OLAP cubes organize facts (measurements) along multiple dimensions (attributes) enabling rapid pivoting, drilling, and aggregation for business analysis. | Data warehousing is an approach to designing integrated repositories of historical business data optimized for analysis and reporting. Pioneered by William Inmon and Ralph Kimball in the early 1990s, data warehouses consolidate data from diverse operational sources into a centralized, time-stamped, non-volatile store supporting complex queries across multiple dimensions. |
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