Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
Extraction–Transform–Load (ETL) processes comprise complex data workflows, which are responsible for the maintenance of a Data Warehouse. Their practical importance is denoted...
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
In recent years, there has been a large increase in the amount of spatial data obtained from remote sensing, GPS receivers, communication terminals and other domains. Data warehous...
Data Warehouses (DW) manage crucial enterprise information used for the decision making process which has to be protected from unauthorized accesses. However, security constraints ...