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/).

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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  -