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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)』 ■ウィキペディアで「Data warehouse architectures」の詳細全文を読む スポンサード リンク
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