Geospatial Data Warehouse (GDW) is a repository of historical and geospatial data used in
the decision-making process. This kind of system manages large volumes of data and …

Cloud computing systems handle large volumes of data by using almost unlimited
computational resources, while spatial data warehouses (SDWs) are multidimensional …

Data cleaning and ETL processes are usually modeled as graphs of data transformations.
The involvement of the users responsible for executing these graphs over real data is …

Combining powerful parallel frameworks and on-demand commodity hardware, cloud
computing has made both analytics and decision support systems canonical to enterprises …

Abstract A Geospatial Data Warehouse (GDW) is an extension of a traditional Data
Warehouse that includes geospatial data in the decision-making processes. Several studies …

Most medium-sized enterprises run their databases on inexpensive off-the-shelf hardware;
still, they need quick answers to complex queries, like ad-hoc Decision Support System …

In the tourism business, the use of geospatial, sometimes known as geospatial information
systems, is essential to the collection of data in various different ways. A collection of …

In data management, both system designers and users casually resort to performance
evaluation. Performance evaluation by experimentation on a real system is generally …

Drill-across SOLAP queries (spatial OLAP queries) allow for strategic decision-making
through the use of numeric measures from distinct fact tables that share dimensions and by …

Spatial data warehouses provide a means of carrying out spatial analysis together with agile
and flexible multidimensional analytical queries performed by SOLAP tools. However …