Data Warehouse Architecture (1)Oper

Data Warehouse Architecture (1)
Operational data and processing is completely separate from data warehouse processing
The source data for the warehouse is coming from the operational applications
The source data is transformed into an integrated structure and format

Data Warehouse Architecture (2)
The transformation process may involve conversion, summarization, filtering, and condensation of data
Data within the data warehouse contains a large historical component (sometimes covering 5 to 10 years)
The data warehouse must be capable of holding and managing large volume of data

The Seven Major Data Warehousing Components
Data Warehouse Database
Sourcing, Acquisition, Cleanup, and Transformation Tools
Metadata
Access Tools
Data Marts
Data Warehouse Administration and Management
Information Delivery System

Hasil (Bahasa Indonesia) 2:

Gudang Data Arsitektur (1)
dan pengolahan data operasional adalah benar-benar terpisah dari data warehouse pengolahan
data sumber untuk gudang datang dari aplikasi operasional
Sumber data ditransformasikan menjadi struktur terpadu dan format yang Data Warehouse Arsitektur (2) Proses transformasi dapat melibatkan konversi, summarization, penyaringan, dan kondensasi data data dalam data warehouse mengandung komponen sejarah besar (kadang-kadang meliputi 5 sampai 10 tahun) Data warehouse harus mampu memegang dan mengelola volume data yang besar Tujuh Mayor Data Warehousing Komponen data Gudang database Sourcing, Akuisisi, Cleanup, dan Transformasi Alat Metadata Akses Alat data Mart Data Warehouse Administrasi dan Manajemen Informasi Delivery System