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Data Engineering

Data are at the core of information systems, so that their engineering fully belongs to Information System Engineering. This discipline aims at developing models, techniques, methods and tools to support the whole data lifecycle according to the most common paradigms, namely future/current/legacy databases, files, paper/electronic documents, ontologies and the web. It copes with standard processes such as database analysis, design and development, but also with other lifecycle processes and non-standard data such as semi-structured and unstructured data, web document as well as transient structured data through workflows. Reengineering and evolution of the data component of information systems in one of the priority of the Data Engineering theme of PReCISE. On the other hand, we analyse the business needs in terms of data management and we assess the opportunities offered by investments in advanced data management tools. This double approach allows us to build the bridge between technical and managerial viewpoints in hot topics as knowledge systems and business intelligence.

  • Ingénierie des modèles et des méthodes
  • Conception de bases de données
  • Ingénierie avancée des données et applications
  • Evolution des données
  • Gestion de données d'entreprise
  • Systèmes à base de connaissances et business intelligence

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Projets en cours (9)

Projets terminés (11)

Doctorats (11)