In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone ...

Abstract: In a Data Warehouse (DW), ETL processes (Extraction, Transformation, Load) are responsible for extracting, transforming and loading data from the data sources into the DW. A good design of these processes in the ...

Although many real world phenomena are vague and characterized by having uncertain location or vague shape, existing spatial data warehouse models do not support spatial vagueness and then cannot properly represent these ...

BACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, ...

processes take charge of extracting the data from data sources that would be contained in the data warehouse. Due to their relevance, the quality of these processes should be formally assessed since the early stages of ...

This paper introduces the methodological guidelines for the data warehouse model computer assisted generation. These guidelines are divided into four different stages: information analysis, conceptual model and logical ...

A Data Warehouse (DW) is a database that stores information oriented to satisfy decision-making requests. DW features are very different from conventional database ones, so that the data models and design strategies for ...

The information domain is seen as a competitive differential in the most varied business areas, such as health, agribusiness, telecommunications, logistics, and government agencies. The correct and updated information is ...

O data warehouse espacial (DWE) é um banco de dados multidimensional integrado e volumoso que armazena dados espaciais e dados convencionais. Já o processamento analítico espacial online (SOLAP) permite consultar o DWE, ...