On designing multidimensional oil and gas business data structures for effective data warehousing and mining
Incomplete, improper and untimely information flow among operational units makes operations untidy and slow. Representing petroleum business data in multidimensional data structuring in a data warehousing environment is a solution for a manager?s strategic planning, and operationalmanagement. Concep...
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| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/39557 |
| _version_ | 1848755622600769536 |
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| author | Nimmagadda, Shastri Dreher, Heinz |
| author2 | Chang, E. |
| author_facet | Chang, E. Nimmagadda, Shastri Dreher, Heinz |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Incomplete, improper and untimely information flow among operational units makes operations untidy and slow. Representing petroleum business data in multidimensional data structuring in a data warehousing environment is a solution for a manager?s strategic planning, and operationalmanagement. Conceptual multidimensional-relational (MR) and EMR (extended multidimensional-relationships) data mapping approaches are proposed for key exploration industry data management. These conceptual models facilitate in developing future implementation data models and help anexploration data analyst, for better understanding of data integration and effective data mining. |
| first_indexed | 2025-11-14T08:59:14Z |
| format | Conference Paper |
| id | curtin-20.500.11937-39557 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:59:14Z |
| publishDate | 2009 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-395572022-12-09T07:12:33Z On designing multidimensional oil and gas business data structures for effective data warehousing and mining Nimmagadda, Shastri Dreher, Heinz Chang, E. Damiani, E. Hussain, F.K. multidimensional and extended multidimensional data - modelling Exploration industry business data dimensions Incomplete, improper and untimely information flow among operational units makes operations untidy and slow. Representing petroleum business data in multidimensional data structuring in a data warehousing environment is a solution for a manager?s strategic planning, and operationalmanagement. Conceptual multidimensional-relational (MR) and EMR (extended multidimensional-relationships) data mapping approaches are proposed for key exploration industry data management. These conceptual models facilitate in developing future implementation data models and help anexploration data analyst, for better understanding of data integration and effective data mining. 2009 Conference Paper http://hdl.handle.net/20.500.11937/39557 Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society restricted |
| spellingShingle | multidimensional and extended multidimensional data - modelling Exploration industry business data dimensions Nimmagadda, Shastri Dreher, Heinz On designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| title | On designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| title_full | On designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| title_fullStr | On designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| title_full_unstemmed | On designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| title_short | On designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| title_sort | on designing multidimensional oil and gas business data structures for effective data warehousing and mining |
| topic | multidimensional and extended multidimensional data - modelling Exploration industry business data dimensions |
| url | http://hdl.handle.net/20.500.11937/39557 |