Processing XML queries and updates on map/reduce clusters

Nicole Bidoit 1, 2 Dario Colazzo 1, 2 Noor Malla 1, 2 Federico Ulliana 1, 2 Maurizio Nolé 3 Carlo Sartiani 3
2 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : In this demo we will showcase a research prototype for processing queries and updates on large XML documents. The prototype is based on the idea of statically and dynamically partitioning the input document, so to distribute the computing load among the machines of a Map/Reduce cluster. Attendees will be able to run predefined queries and updates on documents conforming to the XMark schema, as well as to submit their own queries and updates.
Document type :
Conference papers
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https://hal.inria.fr/hal-00923695
Contributor : Dario Colazzo <>
Submitted on : Friday, January 3, 2014 - 7:57:19 PM
Last modification on : Wednesday, December 12, 2018 - 12:10:02 PM

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Nicole Bidoit, Dario Colazzo, Noor Malla, Federico Ulliana, Maurizio Nolé, et al.. Processing XML queries and updates on map/reduce clusters. International Conference on Extending Database Technology, Mar 2013, Genova, Italy. ⟨hal-00923695⟩

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