Effects of aggregation and data size on query performance and memory requirements of a Data Warehouse
| dc.contributor.author | Dubey A.; Kamal A.; Gupta S.C. | |
| dc.date.accessioned | 2025-05-24T09:20:54Z | |
| dc.description.abstract | Aggregation is a key technique to enhance query response time in a large data warehouse. This paper analyzes its effects on query performance and memory requirements. A grocery shop data warehouse has been designed for simulation purpose using Red Gate Data Generator tool along with the Business Intelligence Development Studio of Microsoft SQL Server 2008. For a desired performance gain, the requirements on aggregate and its impact on memory usage has been studied. The effects of variation in size of base cube of a Data Warehouse on memory requirement and performance gain have also been analyzed. © 2014 IEEE. | |
| dc.identifier.doi | https://doi.org/10.1109/ICROIT.2014.6798300 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/14548 | |
| dc.relation.ispartofseries | ICROIT 2014 - Proceedings of the 2014 International Conference on Reliability, Optimization and Information Technology | |
| dc.title | Effects of aggregation and data size on query performance and memory requirements of a Data Warehouse |