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Advanced Query Processing: An Introduction
2013Traditional query processing techniques have played a major role in the success of relational Database Management Systems over the last decade. However, they do not obviously extend to much more challenging, unorganized and unpredictable data providers, typical of emerging data intensive applications and novel processing environments.
CATANIA, BARBARA, L. Jain
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1995
There is a growing need for tools which ease the close interworking of pre-existing relational databases and evolving object-oriented databases and applications. The IRO-DB ESPRIT project is defined to meet the need of this kind of requirements. It develops tools for accessing in an integrated way relational and object-oriented databases and for ...
Finance, Béatrice +2 more
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There is a growing need for tools which ease the close interworking of pre-existing relational databases and evolving object-oriented databases and applications. The IRO-DB ESPRIT project is defined to meet the need of this kind of requirements. It develops tools for accessing in an integrated way relational and object-oriented databases and for ...
Finance, Béatrice +2 more
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Architecture for Query Processing
2001In this chapter we describe our proposal for query processing in global information systems, which addresses the problems discussed in the introduction. The system architecture modules and the query processing approach are highly related because, on the one hand, the query processing algorithm needs some concrete modules that perform the different ...
Eduardo Mena, Arantza Illarramendi
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2011
The success of relational database technology in data processing is due, in part, to the availability of non-procedural languages (i.e., SQL), which can significantly improve application development and end-user productivity. By hiding the low-level details about the physical organization of the data, relational database languages allow the expression ...
Patrick Valduriez, M. Tamer Özsu
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The success of relational database technology in data processing is due, in part, to the availability of non-procedural languages (i.e., SQL), which can significantly improve application development and end-user productivity. By hiding the low-level details about the physical organization of the data, relational database languages allow the expression ...
Patrick Valduriez, M. Tamer Özsu
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1993
In this chapter, we have examined the various issues and techniques encountered in parallel query processing. The methods used to exploit query parallelism are divided into three categories: namely intra- operator, inter- operator, and inter- query parallelism.
Philip S. Yu +3 more
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In this chapter, we have examined the various issues and techniques encountered in parallel query processing. The methods used to exploit query parallelism are divided into three categories: namely intra- operator, inter- operator, and inter- query parallelism.
Philip S. Yu +3 more
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2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW), 2016
Robust query processing, a long-standing problem, is about performance, predictability and ability to avoid sudden disruptions in performance. While query optimizer being an important component of query processing, my thesis focuses on query optimizer robustness which is mainly plagued with the problem of cardinality mis-estimates. Moreover, it is well
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Robust query processing, a long-standing problem, is about performance, predictability and ability to avoid sudden disruptions in performance. While query optimizer being an important component of query processing, my thesis focuses on query optimizer robustness which is mainly plagued with the problem of cardinality mis-estimates. Moreover, it is well
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2011
We first present our LUPOSDATE system, including its indexing methods for data management and query engines for query evaluation. Afterward, we describe the different phases of query processing performed by these query engines on a high-level basis. In this chapter, we describe the phase of eliminating redundant language constructs of SPARQL queries in
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We first present our LUPOSDATE system, including its indexing methods for data management and query engines for query evaluation. Afterward, we describe the different phases of query processing performed by these query engines on a high-level basis. In this chapter, we describe the phase of eliminating redundant language constructs of SPARQL queries in
openaire +2 more sources