Name
Abstract | ||
|---|---|---|
Data Warehouse (DW) logical design techniques often start from a conceptual schema and then gener- ate the relational structures. Applying this approach involves to cope with two main aspects: (i) mapping the con- ceptual model structures to the logical model ones, and (ii) taking into account implementation issues, which are not included in the conceptual schema. Existing work in this area has mainly focused in the first aspect and pro- poses inter-model mapping strategies that lead to different relational structures. The second aspect has been less studied. This paper presents a set of design guidelines to state such implementation issues. These guidelines en- able to cope with several design problems, for example: managing complex and big dimensions, dimension ver- sioning, different user profiles accessing to different attributes, high summarized data, horizontal partitions of his- torical data, generic dimensionality and non-additive measures. This work is part of a DW logical design envi- ronment, where the design guidelines are specified through a graphical editor and then automatically processed in order to build the logical schema. |
Year | Venue | Keywords |
|---|---|---|
2003 | DMDW | logical design methods.,. data warehouse design,data warehouse,logic design,conceptual schema |
Field | DocType | Citations |
Data warehouse,Data mining,Conceptual schema,Software engineering,Conceptual model,Computer science,Logical data model,Curse of dimensionality,Dimensional modeling,Formalism (philosophy),Software versioning | Conference | 2 |
PageRank | References | Authors |
0.41 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Verónika Peralta | 1 | 72 | 13.76 |
| Raul Ruggia | 2 | 90 | 12.09 |