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・ Data truncation
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Data warehouse architectures
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Data warehouse architectures : ウィキペディア英語版
Data warehouse architectures

The technical architecture of data warehouses is somewhat similar to other systems, but does have some special characteristics. There are two border areas in data warehouse architecture - the single-layer architecture and the N-layer architecture. The difference here is the number of middleware between the operational systems and the analytical tools.
The data warehouse architecture described here is a high level architecture and the parts in the architectures mentioned are full bodied systems and not system-parts.
Components of Data Warehouse Architecture
° Source Data Component
1. Production Data
2. Internal Data
3. Archived Data
4. External Data
° Data Staging Component
1. Data Extraction
2. Data Transformation
3. Data Loading
° Data Storage Component
° Information Deliver Component
° Metadata Component
° Management and Control Component
== References ==



抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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