Data warehousing and OLAP technology with multidimensional database technology

Data warehouses are large repositories that integrate data from several sources in an enterprise for analysis. Online analytical processing (OLAP) systems provide fast answers for queries that aggregate large amounts of detail data to find overall trends. Data mining applications seek to discover knowledge by searching semi automatically for previously unknown patterns and relationships in multidimensional databases. This paper is aimed at outlining some open issues in modeling and design of data warehouses. More precisely, issues regarding conceptual models, logical models, methods for design, interoperability, and design for new architectures and applications are considered.