Abstract | ||
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Many datasets in the physical sciences, especially the results of simulations, are defined over a topolog- ical grid structure. Applications in these domains would benefit from a principled interface to gridded datasets via a specialized data model. Traditionally, benefits of a data model are realized only after data is ensconced within a managed database environment. However, massive bulk-loading and re- loading operations in large-scale data repositories are prohibitively expensive. Instead, we superimpose a specialized data model over native data repositories stored on directly on OS filesystems rather than managed by a database system. Views in a specialized data model can be defined via references to native directory structures and file content, providing physical and logical data independence. This non-intrusive approach appears to reduce space requirements, speed development, and cooperate with legacy applications. |
Year | Venue | Keywords |
---|---|---|
2004 | IEEE Data Eng. Bull. | data model,database system,scientific data |
Field | DocType | Volume |
Data warehouse,Data mining,Data modeling,Data administration,Computer science,Database design,Physical data model,Data model,Database,Legacy system,Data independence | Journal | 27 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bill Howe | 1 | 1520 | 94.44 |
David Maier | 2 | 5639 | 1666.90 |