Assessment of query execution performance using selected Business Intelligence tools and experimental agile oriented data modeling approach
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 1327–1333 (2015)
Abstract. The paper deals with the assessment of an experimental data modeling approach which is intended to support the agile oriented data modeling. The approach is based on the Anchor Data Modeling technique and is applied on a multidimensional data model. The assessed approach is expected to facilitate more effective execution of queries in the data mart environment. The emphasis is placed on the comparison of the query execution performance using database schemas, each built using traditional and the experimental approach. The tests are done in the environment of selected modern Business Intelligence tools, and using two test queries with varying output dataset sizes. The results show that the use of the database schema, created according to the experimental data modeling approach, had positive impact on the querying performance in several cases. The magnitude of impact on the querying performance, however, varied depending on each query's respective resulting dataset size.