مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| فرایند ETL× | انبار داده× | |
|---|---|---|
| حوزه | سیستمهای اطلاعاتی | سیستمهای اطلاعاتی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1996 | 1992 |
| پدیدآور≠ | Ralph Kimball and data warehouse pioneers | William H. Inmon and Ralph Kimball |
| نوع≠ | Data integration methodology | Data system architecture |
| منبع بنیادین≠ | Kimball, R. (1996). The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. New York: John Wiley & Sons. link ↗ | Inmon, W. H. (1992). Building the Data Warehouse. New York: QED Technical Publishing. link ↗ |
| نامهای دیگر | ETL, data integration | warehouse, DW design |
| مرتبط≠ | 1 | 2 |
| خلاصه≠ | 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. |
| ScholarGateمجموعهداده ↗ |
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