Find all needed information about Olap And Dss Support In Data Warehouse. Below you can see links where you can find everything you want to know about Olap And Dss Support In Data Warehouse.
https://www.careerride.com/olap-vs-dss.aspx
What is the difference between OLAP and DSS? Data driven Decision support system is used to access and manipulate data. Data Driven DSS in conjunction with On line Analytical Processing speeds up the work of analysts to arrive at a conclusion.
https://www.datawarehouse4u.info/OLTP-vs-OLAP.html
OLTP vs. OLAP. We can divide IT systems into transactional (OLTP) and analytical (OLAP). In general we can assume that OLTP systems provide source data to data warehouses, whereas OLAP systems help to analyze it. The following table summarizes the major differences between OLTP and OLAP …
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Data Warehouse “A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process.”—W. H. Inmon. A decision support system (DSS) is a computer program application that analyzes business data and presents it so that users can make business decisions more easily.
http://www.knowledge-management-tools.net/data-warehousing.php
Furthermore, the data warehouse is usually the driver of data-driven decision support systems (DSS), discussed in the following subsection. Thierauf (1999) describes the process of warehousing data, extraction, and distribution. First data extraction of operational production data takes place, and this data is passed on to the warehouse database.
https://www.allinterview.com/showanswers/8480/difference-between-dss-oltp.html
historycal data are contained in OLAP i.e. data warehousing. In contrast to that, DSS can benefit from both OLAP and OLTP. The main strength of DSS is a possibility to use subjective reasoning of decision maker, in order to make a decision. As a data foundation for DSS one can utilize OLAP, OLTP or just its own logic and experience.
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