A cube model approach for Data warehouse
- DOI
- 10.2991/icmmcce-15.2015.220How to use a DOI?
- Keywords
- Data warehouse; Data cube; OLAP; Data models
- Abstract
The grain preservation feature guarantees that the translated multidimensional model will maintain cohesive granularity among the entities. Many data warehouse systems have been developed recently, yet data warehouse practice is not sufficiently sophisticated for practical usage. Most data warehouse systems have some limitations in terms of flexibility, efficiency, and scalability.In particular, the sizes of these data warehouses are forever growing and becoming overloaded with data, a scenario that leads to difficulties in data maintenance and data analysis. This research focuses on data-information integration between data cubes. To deal with the handling of increasing data volume in data warehouses, we discovered important inter-relationships that hold among data cubes, that facilitate information integration, and that prevent the loss of data semantics.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zuyi Chen AU - Taixiang Zhao PY - 2015/12 DA - 2015/12 TI - A cube model approach for Data warehouse BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SP - 846 EP - 849 SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.220 DO - 10.2991/icmmcce-15.2015.220 ID - Chen2015/12 ER -