Executable Schema Mappings for Statistical Data Processing

Abstract : Data processing is the core of any statistical information system. Statisticians are interested in specifying transformations and manipulations of data at a high level, in terms of entities of statistical models. We illustrate here a proposal where a high-level language, EXL, is used for the declarative specification of statistical programs, and a translation into executable form in various target systems is available. The language is based on the theory of schema mappings, in particular those defined by a specific class of tgds, which we actually use to optimize user programs and facilitate the translation towards several target systems. The characteristics of such class guarantee good tractability properties and the applicability in Big Data settings. A concrete implementation, EXLEngine, has been carried out and is currently used at the Bank of Italy.
Type de document :
Article dans une revue
Distributed and Parallel Databases, Springer, In press
Liste complète des métadonnées

Littérature citée [40 références]  Voir  Masquer  Télécharger

Contributeur : Francesca Bugiotti <>
Soumis le : vendredi 6 octobre 2017 - 10:55:39
Dernière modification le : jeudi 11 janvier 2018 - 06:20:12
Document(s) archivé(s) le : lundi 8 janvier 2018 - 12:10:22


Fichiers produits par l'(les) auteur(s)


  • HAL Id : hal-01611602, version 1


Paolo Atzeni, Luigi Bellomarini, Francesca Bugiotti, Marco De Leonardis. Executable Schema Mappings for Statistical Data Processing. Distributed and Parallel Databases, Springer, In press. 〈hal-01611602〉



Consultations de la notice


Téléchargements de fichiers