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Efficient Native Storage Systems for Semi-Structured Data

Overview Semi-structured data is becoming commonplace with examples such as XML, Bioinformatics suffix-trees, scientific computing data, and even generic directory-file hierarchies. Such semi-structured data must be stored on mass storage devices for persistence as well as cost-efficiency. Current approaches, which map semi-structured data to relational databases or simply use flat files, incur a mismatch between the structure of the data and the underlying storage device (disk drive). This paper explores alternate native strategies for storing semi-structured data that match its access characteristics to those of disk drives, using XML data as a concrete case study.

Further White Paper Details
Publisher	Florida International University	File Format	PDF
Date Published	August 2007	Downloads	1
Format	White Papers
Topics	Knowledge and Data Management, Storage Management, Hard Drives

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