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Data Discovery and Query Builder

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This is an old revision of this page, as edited by Huwirikiro (talk | contribs) at 18:10, 28 January 2009 (moved Data Discovery Query Builder to Data Discovery and Query Builder: The word "and" is critical as it joins two separate concepts (Data Discovery) with (Query Builder) which together form the unique solution.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Data Discovery and Query Builder (DDQB) is a data abstraction technology, developed by IBM, that allows users to retrieve information from a data warehouse, in terms of the user's specific area of expertise instead of SQL.

DDQB serves the user through a web based graphical user interface and configureable data abstraction model (DAM), which contains both an understanding of the user knowledge domain and the database below it.

DDQB uses a set of Eclipse-based customization tooling and can be deployed as a set of Web Services.


See Also


IBM DDQB Software Resource

Data Virtualization through IBM and Mayo Clinic Collaboration

A health-care data model based on the HL7 Reference Information Model

Varieties of interoperability in the transformation of the health-care information infrastructure

BIMS: An information management system for biobanking in the 21st century

Infrastructure for a clinical-decision-intelligence system

IT solutions for imaging biomarkers in biopharmaceutical research and development

Nicky Hekster, Henry Bal, Data grids in theory and practice, 2008

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