Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Almacenamiento de datos× | Diseño de Cubos OLAP× | |
|---|---|---|
| Campo | Sistemas de información | Sistemas de información |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1992 | 1993 |
| Autor original≠ | William H. Inmon and Ralph Kimball | E. F. Codd and colleagues (Arbor Software) |
| Tipo≠ | Data system architecture | Analytical data structure design |
| Fuente seminal≠ | Inmon, W. H. (1992). Building the Data Warehouse. New York: QED Technical Publishing. link ↗ | Codd, E. F., Codd, S. B., & Salley, C. T. (1993). Providing OLAP to user-analysts: An IT mandate. Arbor Software. link ↗ |
| Alias | warehouse, DW design | OLAP, multidimensional cubes |
| Relacionados≠ | 2 | 1 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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