ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Emmagatzematge de dades×Procés ETL×
CampSistemes d'informacióSistemes d'informació
FamíliaProcess / pipelineProcess / pipeline
Any d'origen19921996
Autor originalWilliam H. Inmon and Ralph KimballRalph Kimball and data warehouse pioneers
TipusData system architectureData integration methodology
Font seminalInmon, W. H. (1992). Building the Data Warehouse. New York: QED Technical Publishing. link ↗Kimball, R. (1996). The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. New York: John Wiley & Sons. link ↗
Àlieswarehouse, DW designETL, data integration
Relacionats21
ResumData 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.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.
ScholarGateConjunt de dades
  1. v1
  2. 3 Fonts
  3. PUBLISHED
  1. v1
  2. 3 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: Data Warehousing · ETL Process. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare