Supporting Data Changes in Multidimensional Data Warehouses
Franck Ravat, Olivier Teste · International Journal on Computer and Communications Networks Computational Intelligence and Data Analytics · 2017
This paper is in the field of data warehouses based on “On-Line Analytical Processing” (OLAP) technology. We detail the integration of changes in a multidimensional schema. First, the conceptual model we provide integrates the changes of facts (subject of analysis) and dimensions (axes of analysis). These changes are modeled through fact and dimension versions. Second, the logical model we provide is based on Relational-OLAP concepts. The conceptual versions are translated into data version tables and structure tables.