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Implementation of Multidimensional Data Models using Data Warehouse and OLAP Technology

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dc.contributor.author Nyunt, Lwin Si Thu
dc.date.accessioned 2019-08-06T01:03:21Z
dc.date.available 2019-08-06T01:03:21Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1815
dc.description.abstract Data warehousing and online analytical processing (OLAP) are essential elements of decision support system, which has increasingly become a focus of the database industry. A data warehouse is an integrated and time-varying collection of data derived from operational data and primarily used in strategic decision making by means of OLAP techniques. OLAP technology can use data from operational database to be executed data analysis queries. We describe back end tools for extracting, cleaning and loading data into a data warehouse multidimensional data model. In this system, we also implement multidimensional data models typical of OLAP. This proposed system intends to develop the data warehouse for the main crops of Pathein District in Ayeyarwaddy Division. And then develop relational online analytical processing (ROLAP) to retrieve information from the data warehouse via graphical user interface. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject Data Warehouse en_US
dc.subject OLAP en_US
dc.title Implementation of Multidimensional Data Models using Data Warehouse and OLAP Technology en_US
dc.type Article en_US


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