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Data Exchange with MapReduce: A First Cut

Belhajjame, Khalid; Bonifati, Angela (2016), Data Exchange with MapReduce: A First Cut, in Baumann, Peter; Manolescu-Goujot, Ioana; Trani, Luca, Proceedings of the 28th International Conference on Scientific and Statistical Database Management (SSDBM), ACM Press : New York, p. 4. 10.1145/2949689.2949702

Type
Communication / Conférence
Date
2016
Conference title
28th International Conference on Scientific and Statistical Database Management (SSDBM)
Conference date
2016-07
Conference city
Budapest
Conference country
Hungary
Book title
Proceedings of the 28th International Conference on Scientific and Statistical Database Management (SSDBM)
Book author
Baumann, Peter; Manolescu-Goujot, Ioana; Trani, Luca
Publisher
ACM Press
Published in
New York
ISBN
978-1-4503-4215-5
Pages
4
Publication identifier
10.1145/2949689.2949702
Metadata
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Author(s)
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Bonifati, Angela
Abstract (EN)
Data exchange is one of the oldest database problems, being of both practical and theoretical interest. Given the pace at which heterogeneous data are published on the web, thanks to initiatives such as Linked Data and Open Science, scalability of data exchange becomes crucial. Pivotal to data exchange is the chase algorithm, which is a fixpoint algorithm to evaluate both source-to-target constraints and target constraints in the data exchange process. In this paper, we investigate how new programming models such as MapReduce can be used to implement the chase on large-scale data sources. To the best of our knowledge, how to exchange data at scale has not been investigated so far. We present an initial solution for chasing source-to-target tuple generating dependencies and target tuple-generating dependencies, and discuss open issues that need to be addressed to leverage MapReduce for the data exchange problem.
Subjects / Keywords
Data Exchange; MapReduce

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