The increasing demands for interactive response time from the users makes query performance one of the central problems of Data warehouse systems today. Performance is an important quality aspect of Data warehouse systems. Predicting the performance of Data warehouse systems during early design stages of their development is significant. Software Performance Engineering(SPE) promotes the idea t...

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...

Jacobson et al. [JKSH13] hypothesized that the local coherency of the generalized winding number function proposed in that work could be used to correctly determine consistent facet orientations in polygon meshes. We report on an approach to consistently orienting facets in polygon meshes by minimizing the Dirichlet energy of generalized winding numbers. While the energy can be concisely formul...

The Keck Virtual Factory Lab (KVFL) was created to be a platform for computationally-based research on industrial logistics systems, and currently engages nine faculty and over a dozen graduate students. Initially, the KVFL has focused on warehousing and the development of integrated computational tools to support warehouse design and optimization, and warehousing-related courses. Recent collab...

Data warehouses are complex systems consisting of many components which store highlyaggregated data for decision support. Due to the role of the data warehouses in the daily business work of an enterprise, the requirements for the design and the implementation are dynamic and subjective. Therefore, data warehouse design is a continuous process which has to reflect the changing environment of a ...

A data warehouse is an essential component to the decision support system. The traditional data warehouse provides only numeric and character data analysis. But as information technologies progress, complex data such as semi-structured and unstructured data become vastly used. Developing new data warehouse technologies to accommodate the demand of integrating complex data is important. In this ...

This paper proposes the design of Star Schema of a Data Warehouse and conversion to its equivalent Graph based Multi Dimensional Data Model (GMDDM Model). Design of Star Schema facilitates in constructing Graph based Multi Dimensional Data Model. The GMDDM model defines a set of graph based constructs that are used to specify the conceptual level design of Data Warehouse. Data warehouse represe...