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- Data_warehouse abstract "In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a database used for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a data warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting.The typical extract-transform-load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.A data warehouse constructed from integrated data source systems does not require ETL, staging databases, or operational data store databases. The integrated data source systems may be considered to be a part of a distributed operational data store layer. Data federation methods or data virtualization methods may be used to access the distributed integrated source data systems to consolidate and aggregate data directly into the data warehouse database tables. Unlike the ETL-based data warehouse, the integrated source data systems and the data warehouse are all integrated since there is no transformation of dimensional or reference data. This integrated data warehouse architecture supports the drill down from the aggregate data of the data warehouse to the transactional data of the integrated source data systems.A data mart is a small data warehouse focused on a specific area of interest. Data warehouses can be subdivided into data marts for improved performance and ease of use within that area. Alternatively, an organization can create one or more data marts as first steps towards a larger and more complex enterprise data warehouse.This definition of the data warehouse focuses on data storage. The main source of the data is cleaned, transformed, cataloged and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support (Marakas & O'Brien 2009). However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform and load data into the repository, and tools to manage and retrieve metadata.".
- Data_warehouse thumbnail Data_warehouse_overview.JPG?width=300.
- Data_warehouse wikiPageExternalLink DW_Overview.html.
- Data_warehouse wikiPageExternalLink stamp.jsp?tp=&arnumber=5387658.
- Data_warehouse wikiPageExternalLink time-to-reconsider-the-data-warehouse.aspx?.
- Data_warehouse wikiPageExternalLink 77-172.
- Data_warehouse wikiPageExternalLink articles.html.
- Data_warehouse wikiPageID "7990".
- Data_warehouse wikiPageRevisionID "606761870".
- Data_warehouse hasPhotoCollection Data_warehouse.
- Data_warehouse subject Category:Business_intelligence.
- Data_warehouse subject Category:Data_management.
- Data_warehouse subject Category:Data_warehousing.
- Data_warehouse subject Category:Information_technology_management.
- Data_warehouse comment "In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a database used for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a data warehouse (DW).".
- Data_warehouse label "Almacén de datos".
- Data_warehouse label "Armazém de dados".
- Data_warehouse label "Data warehouse".
- Data_warehouse label "Data warehouse".
- Data_warehouse label "Data-Warehouse".
- Data_warehouse label "Datawarehouse".
- Data_warehouse label "Entrepôt de données".
- Data_warehouse label "Hurtownia danych".
- Data_warehouse label "Хранилище данных".
- Data_warehouse label "مستودع البيانات".
- Data_warehouse label "データウェアハウス".
- Data_warehouse label "資料倉儲".
- Data_warehouse sameAs Datový_sklad.
- Data_warehouse sameAs Data-Warehouse.
- Data_warehouse sameAs Αποθήκη_δεδομένων.
- Data_warehouse sameAs Almacén_de_datos.
- Data_warehouse sameAs Entrepôt_de_données.
- Data_warehouse sameAs Gudang_data.
- Data_warehouse sameAs Data_warehouse.
- Data_warehouse sameAs データウェアハウス.
- Data_warehouse sameAs 데이터_웨어하우스.
- Data_warehouse sameAs Datawarehouse.
- Data_warehouse sameAs Hurtownia_danych.
- Data_warehouse sameAs Armazém_de_dados.
- Data_warehouse sameAs m.0274f.
- Data_warehouse sameAs Q193351.
- Data_warehouse sameAs Q193351.
- Data_warehouse wasDerivedFrom Data_warehouse?oldid=606761870.
- Data_warehouse depiction Data_warehouse_overview.JPG.
- Data_warehouse isPrimaryTopicOf Data_warehouse.