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description |
184 pages
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During the last years parallel object-relational database management
systems emerged as the leading data management technology on the
market place. These systems are extensible by user-defined data
types and user-defined functionality for the data. This work focuses
on the efficient parallel execution of user-defined functionality.
The main contributions are techniques to support data parallelism
for the execution of a scalar function on a large object, and a new
technology to provide extensibility with regard to new set-oriented
database operations that can efficiently implement user-defined
functionality in parallel object-relational database managmeent
systems. Some of these techniques have been implemented in the MIDAS
prototype or on top of a commercial object-relational database
management system.
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publisher |
Stuttgart, Germany, Universität Stuttgart
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type |
Text
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| Doctoral Thesis
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contributor |
Anwendersoftware (IPVR)
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subject |
Database Management Systems (CR H.2.4)
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