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| Processus ETL× | Conception de cube OLAP× | |
|---|---|---|
| Domaine | Systèmes d'information | Systèmes d'information |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1996 | 1993 |
| Auteur d'origine≠ | Ralph Kimball and data warehouse pioneers | E. F. Codd and colleagues (Arbor Software) |
| Type≠ | Data integration methodology | Analytical data structure design |
| Source fondatrice≠ | Kimball, R. (1996). The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. New York: John Wiley & Sons. link ↗ | Codd, E. F., Codd, S. B., & Salley, C. T. (1993). Providing OLAP to user-analysts: An IT mandate. Arbor Software. link ↗ |
| Alias | ETL, data integration | OLAP, multidimensional cubes |
| Apparentées | 1 | 1 |
| Résumé≠ | The Extract-Transform-Load (ETL) process is a systematic approach to moving data from source systems into a target repository. Formalized in the context of data warehousing, ETL pipelines extract data from diverse operational sources, apply business rules and data quality checks, and load the results into data warehouses and analytical systems. | 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. |
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