Middle-Tier Extensible Data Management

  • Authors:

  • Brian F. Cooper;Neal Sample;Michael J. Franklin;Joshua Olshansky;Moshe Shadmon

  • Affiliations:

  • RightOrder Inc., 3850 N. First St., San Jose, CA 95134, USA, Department of Computer Science, Stanford University, Stanford, CA 94305, USA cooperb@db.stanford.edu;RightOrder Inc., 3850 N. First St., San Jose, CA 95134, USA, Department of Computer Science, Stanford University, Stanford, CA 94305, USA nsample@db.stanford.edu;RightOrder Inc., 3850 N. First St., San Jose, CA 95134, USA, Computer Science Division, University of California, Berkeley, CA 94720, USA franklin@cs.berkeley.edu;RightOrder Inc., 3850 N. First St., San Jose, CA 95134, USA josho@rightorder.com;RightOrder Inc., 3850 N. First St., San Jose, CA 95134, USA moshes@rightorder.com

  • Venue:
  • World Wide Web
  • Year:
  • 2002

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Abstract

Current data management solutions are largely 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.