Data Warehouses (DWs) are aimed to empower the knowledge workers with information and knowledge which helps them in decision making. Technically, the DW is a large reservoir of integrated data that does not provide the intelligence or the knowledge demanded by users. The burden of data analysis and extraction of information and knowledge from integrated data still lies upon the analyst’s should...

Internet provides a huge amount of data, but this information cannot be exploited to make decisions. An integrated view over multiple, autonomous and heterogeneous Web sources can be defined as a data warehouse which collects relevant data and keeps history (evolutions) of data to improve decision making. A data warehouse exploits large volumes of data to turn passive information into useful ac...

Abstract According to military logistics data warehouse dealing with large-scale effect is poor. This paper puts forward the construction scheme of dual computing engine based on hive in order improve support capability. The adopts Hadoop and Spark search architecture efficient storage heterogeneous data. In addition, a block placement strategy correlation analysis was used. article use interse...

We develop a decision support system, based on the data warehousing approach. We define a conceptual object-oriented data warehouse model, which describes the data warehouse as a central repository of relevant, complex and temporal data. Our model integrates three concepts: warehouse object, environment and warehouse class. Each warehouse object representing a source entity, is composed of one ...