EXLEngine: executable schema mappings for statistical data processing

  • Authors:
  • Paolo Atzeni;Luigi Bellomarini;Francesca Bugiotti

  • Affiliations:
  • Università Roma Tre;Bank of Italy;Università Roma Tre

  • Venue:
  • Proceedings of the 16th International Conference on Extending Database Technology
  • Year:
  • 2013

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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 such as time series. We illustrate here an experience at the Bank of Italy where (i) a language, EXL, has been defined for the declarative specification of statistical programs, (ii) an approach for the translation of EXL code into executables in various target systems has been developed, and (iii) a concrete implementation, EXLEngine, has been carried out. The approach leverages on schema mappings as an intermediate specification step, in order to facilitate the translation from EXL towards several target systems.