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12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE'02)
Extensible Data Management in the Middle-Tier
San Jose, California
February 24-February 25
ISBN: 0-7695-1480-4
Brian F. Cooper, Stanford University
Neal Sample, Stanford University
Michael J. Franklin, University of California, Berkeley
Joshua Olshansky, Moshe Shadmon, Levy CohenRightOrder Inc.Current data management solutions are optimized for intra-enterprise, client-server applications. They depend on predictability, predefined structure, and universal administrative control, and cannot easily cope with change and lack of structure. However, modern e-commerce applications are dynamic, unpredictable, organic, and decentralized, and require adaptability. eXtensible Data Management (XDM) is a new approach that enables rapid development and deployment of networked, data-intensive services by providing semantically-rich, high-performance middle-tier data management, and allows heterogeneous data from different sources to be accessed in a uniform manner. Here, we discuss how middle tier extensible data management can benefit an enterprise, and present technical details and examples from the Index Fabric, an XDM engine we have implemented.
Index Terms:
extensibility, middle tier, data management, Index Fabric, integration
Citation:
Brian F. Cooper, Neal Sample, Michael J. Franklin, "Extensible Data Management in the Middle-Tier," ride, pp.0041, 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE'02), 2002
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