Value and Variety Driven Approach for Extended Data Warehouses Design

  • Nabila Berkani Ecole Nationale Supérieure d’Informatique (ESI)
  • Ladjel Bellatreche
  • Selma Khouri


In a very short time (1999-present), the data warehouse ( DW ) technology has gone through all the phases of a technological product’s life : introduction on the market, growth, maturity and decline, signaled by the appearance of Big Data. In the big data landscape, the arrival of Linked Open Data (LOD) transforms the Big Data threat into an opportunity for DW s, because they bring added value and knowledge that we do not find in the internal sources feeding a DW . However, the consideration of LOD s increases the variety of sources, which must be managed effectively. In this paper, we present a new value and variety driven approach for DW design that we apply to a case study of the SHS domain.