Title
Logical and Physical Data Independence for Native Scientific Data Repositories
Abstract
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 Howe1152094.44
David Maier256391666.90