Comparer des méthodes

	Processus ETL	Entreposage de données
Domaine	Systèmes d'information	Systèmes d'information
Famille	Process / pipeline	Process / pipeline
Année d'origine	1996	1992
Auteur d'origine	Ralph Kimball and data warehouse pioneers	William H. Inmon and Ralph Kimball
Type	Data integration methodology	Data system architecture
Source fondatrice	Kimball, R. (1996). The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. New York: John Wiley & Sons.	Inmon, W. H. (1992). Building the Data Warehouse. New York: QED Technical Publishing.
Alias	ETL, data integration	warehouse, DW design
Apparentées	1	2
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.	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.