Name
Abstract | ||
|---|---|---|
Data Warehouse logical design involves the definition of structures that enable an efficient access to information. The designer builds relational or multidimensional structures taking into account a conceptual schema representing the information requirements, the source databases, and non-functional requirements. Exist- ing work in this area has mainly focused on aspects like data models, data structures specifically designed for DWs, and criteria for defining table partitions and indexes. This paper proposes a step forward to the automation of DW relational design through a rule-based mechanism, which automatically generates the DW schema by ap- plying existing DW design knowledge. The proposed rules embed design strategies which are triggered by condi- tions on requirements and source databases, and perform the schema generation through the application of prede- fined DW design oriented transformations. |
Year | Venue | Keywords |
|---|---|---|
2003 | CAiSE Short Paper Proceedings | . data warehouse design,rule based design.,logic design,rule based,data model,non functional requirement,data structure,indexation,conceptual schema,data warehouse |
Field | DocType | Citations |
Data warehouse,Data mining,Data modeling,Data transformation,Design knowledge,Conceptual schema,Rule-based system,Computer science,Logical data model,Dimensional modeling | Conference | 2 |
PageRank | References | Authors |
0.40 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Verónika Peralta | 1 | 72 | 13.76 |
| Alvaro Illarze | 2 | 9 | 0.96 |
| Raul Ruggia | 3 | 90 | 12.09 |