Exploració per autor "Simitsis, Alkis"

Ara es mostren els items 7-11 de 11

    • Quarry : digging up the gems of your data treasury 

      Jovanovic, Petar; Romero Moral, Óscar; Simitsis, Alkis; Abelló Gamazo, Alberto; Candón Arenas, Héctor; Nadal Francesch, Sergi (2015)
      Comunicació de congrés
      Accés obert
      The design lifecycle of a data warehousing (DW) system is primarily led by requirements of its end-users and the complexity of underlying data sources. The process of designing a multidimensional (MD) schema and back-end ...

    • Requirement-driven creation and deployment of multidimensional and ETL designs 

      Jovanovic, Petar; Romero Moral, Óscar; Simitsis, Alkis; Abelló Gamazo, Alberto (Springer, 2012)
      Text en actes de congrés
      Accés obert
      We present our tool for assisting designers in the error-prone and time-consuming tasks carried out at the early stages of a data warehousing project. Our tool semi-automatically produces multidimensional (MD) and ETL ...

    • Semantic web technologies for business intelligence 

      Berlanga, Rafael; Romero Moral, Óscar; Simitsis, Alkis; Nebot, Victoria; Pedersen, Torben; Abelló Gamazo, Alberto; Aramburu, María José (IGI Global, 2011)
      Capítol de llibre
      Accés restringit per política de l'editorial
      This chapter describes the convergence of two of the most influential technologies in the last decade, namely business intelligence (BI) and the Semantic Web (SW). Business intelligence is used by almost any enterprise to ...

    • Using semantic web technologies for exploratory OLAP: A survey 

      Abelló Gamazo, Alberto; Romero Moral, Óscar; Pedersen, Torben; Berlanga, Rafael; Nebot, Victoria; Aramburu, María José; Simitsis, Alkis (2015-02-01)
      Article
      Accés obert

    • xPAD: A platform for analytic data flows 

      Simitsis, Alkis; Wilkinson, Kevin; Jovanovic, Petar (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      As enterprises become more automated, real-time, and data-driven, they need to integrate new data sources and specialized processing engines. The traditional business intelligence architecture of Extract-Transform-Load ...