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https://www.sciencedirect.com/science/article/pii/S0167923605000941
1. Introduction. Conceptually the idea of a data warehouse is extremely simple. As popularized by Inmon and Inmon and Hackathorn a data warehouse is a “subject-oriented, integrated, time-invariant, non-updatable collection of data used to support management decision-making processes and business intelligence.” A data warehouse is a repository into which are placed all data …Cited by: 361
https://www.researchgate.net/publication/222543294_Integrated_decision_support_systems_A_data_warehousing_perspective
A Data Warehouse is defined as "subject-oriented, integrated, time-invariant, non-updatable collection of data used to support management decision-making processes and business intel- …
https://www.deepdyve.com/lp/elsevier/integrated-decision-support-systems-a-data-warehousing-perspective-I17WrxpGp0
Apr 01, 2007 · Integrated decision support systems: A data warehousing perspective Data warehouses have emerged to meet this need. They serve as an integrated repository for internal and external data— intelligence critical to understanding and evaluating the business within its environmental context.
https://www.sciencedirect.com/science/article/pii/S0926580502000870
The method of creating a data warehouse is then shown, changing the data in the data warehouse into a multidimensional data cube and integrating the data warehouse with a DSS. Finally, an application example is given to illustrate the use of the Construction Management Decision Support System (CMDSS) developed in this study.Cited by: 128
https://searchdatamanagement.techtarget.com/feature/The-benefits-of-deploying-a-data-warehouse-platform
Nov 16, 2015 · How frequently the data gets added is based on the latency requirements of the BI applications and decision support systems that use the data warehouse. Many modern data warehouses are near-real-time, meaning the latency is low between when data is created or changed in a production system and when the new data is moved to the data warehouse.
https://www.frontiersin.org/articles/10.3389/fdigh.2018.00008/full
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective Arianna Dagliati 1,2 , Valentina Tibollo 1 , Lucia Sacchi 3 , Alberto Malovini 1 , Ivan Limongelli 4 , Matteo Gabetta 5 , Carlo Napolitano 6 , Andrea Mazzanti 6 , Pasquale De Cata 7 , Luca Chiovato 7 , Silvia Priori 6 and Riccardo Bellazzi 1,3 *Cited by: 3
https://www.chegg.com/homework-help/questions-and-answers/write-summary-critique-selected-article-maximum-two-a4-pages-12-size-times-new-roman-font--q17741473
Question: Write Summary And Critique Of Selected Article(maximum Two A4 Pages In 12 Size Times New Roman Font). Article Is: March, Salvatore T., And Alan R. Hevner. "Integrated Decision Support Systems: A Data Warehousing Perspective." Decision Support Systems
https://www.guru99.com/data-warehousing.html
Dec 24, 2019 · What is Data Warehousing? A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. The data warehouse is the core of the BI system which is built for data analysis and reporting.
https://en.wikipedia.org/wiki/Data_warehouse
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. DWs are central repositories of integrated data …
https://quizlet.com/11643149/data-warehousing-flash-cards/
A conceptional data model of the data warehouse defining the structure of the data warehouse and the metadata to access operational databases and external data sources. Data Mart A subset or view of a data warehouse, typically at a department or functional level, that contains all data required for decision support talks of that department.
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