Data warehouse is considered as the core component of the modern decision support systems. Due to the major support of data warehouse in the daily transaction of an enterprise, the requirements for the design and the implementation of DW are dynamic and subjective. This dynamic nature of the data warehouse may reflect the evolution in the data warehouse. Data warehouse evolution may be focused ...

The goal of the EU-FP7 project WatERP is to achieve more interoperability of software systems along the water-supply chain. A central element to achieve that is the WatERP Water Data Warehouse which shall act as a central data-exchange platform between different software systems. The WDW shall be able to store and provide sensor, measurement and forecasting data, as well as semantic knowledge a...

A Data warehouse has its own set of challenges for security. Organizational data warehouse are often very large systems. Once we have extracted and loaded the data from heterogeneous sources we need to integrated the data as it seems to similar but coming from the different sources. Validation is required at all the design phases of the development of the data warehouse. With the rapid developm...

Data warehouse is a set of integrated databases deliberated to expand decision-making and problem solving, espousing exceedingly condensed data. Data warehouse happens to be progressively more accepted theme for contemporary researchers with respect to contemporary inclination towards industry and executive purview. The crucial tip of the proposed work is integrated on delivering an enhanced an...

In this research work, a wholesaler-retailer-customer supply chain model for a deteriorating item is considered, where the retailer's warehouse in the market place has a limited capacity. The retailer can rent an additional warehouse (rented warehouse) if needed, with a higher rent compared to the existing warehouse (own warehouse). The customers' demand of the item is linearly influenced by th...

The New Zealand Department of Social Welfare (DSW) has a large, well-established and successful corporate data warehouse. This warehouse first went into production in 1996. It has been continually enhanced since that time, and now services more than one government department. The hardware has been upgraded, the data quantity and sources have increased, and more vital information is being provid...

Data warehousing encompasses architectures, algorithms, and tools for bringing together selected data from multiple databases or other information sources into a single repository, called a data warehouse suitable for direct querying or analysis. In recent years data warehousing has become a prominent buzzword in the database industry, but attention from the database research community has been...

The input data for a data warehouse, coming from operational systems, are not immediately ready for loading into data warehouse. Cleaning and integration could be necessary. Moreover, the input data must be transformed and translated into a format more suitable for analytical purposes. This paper presents a generalised platform for population of data warehouses named Data Warehouse Population P...

The effective analysis and understanding of huge amount of mobility data have been a hot research topic in the last few years. In this paper, we introduce Mob-Warehouse, a Trajectory Data Warehouse which goes a step further to the state of the art on mobility analysis since it models trajectories enriched with semantics. The unit of movement is the (spatio-temporal) point endowed with several s...