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200811 ||| eng |
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|a 9783540455073
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| 100 |
1 |
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|a Jaedicke, Michael
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| 245 |
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|a New Concepts for Parallel Object-Relational Query Processing
|h Elektronische Ressource
|c by Michael Jaedicke
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| 250 |
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|a 1st ed. 2001
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2001, 2001
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| 300 |
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|a XI, 161 p
|b online resource
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| 505 |
0 |
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|a Background on User-Defined Routines -- Parallel of User-Defined Functions -- Intra-function Parallelism -- The Multi-operator Method -- User-Defined Table Operators -- Implementation of UDTO -- Summary, Conclusions, and Future Work
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| 653 |
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|a Database Management
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| 653 |
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|a Database management
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Lecture Notes in Computer Science
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| 028 |
5 |
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|a 10.1007/3-540-45507-8
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| 856 |
4 |
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|u https://doi.org/10.1007/3-540-45507-8?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 005.74
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| 520 |
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|a During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. 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 describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function 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 management systems
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