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ETL systems are responsible for populating data warehouses' storage structures with historical subject-oriented business data. To do that in the most appropriated manner ETL systems require special computational means, involving frequently the manipulation of large amounts of data that come usually from disparate information sources. Planning and designing ETL systems are very complex tasks, where...
During the last few years many initiatives were taken away in response to high levels of energy consumption verified in data centers. We all know that this is a critical issue nowadays. Many studies carried out raised a lot of concerns about the energy demands of data centers, discussing solutions to reduce it effectively without affecting their day-by-day operation. In this work we made a small contribution...
Modeling Extract-Transform-Load (ETL) processes of a Data Warehousing System has always been a challenge. The heterogeneity of the sources, the quality of the data obtained and the conciliation process are some of the issues that must be addressed in the design phase of this critical component. Commercial ETL tools often provide proprietary diagrammatic components and modeling languages that are not...
The design and development of a data warehousing system (DWS) tends to be an exceptional resource consuming project which in turn makes it a high risk/reward project. In order to minimize the risk, some design methodologies and tools are used along the several phases of the project. The Extract-Transform-Load (ETL) component is normally one of the most critical components of a DWS since it gathers,...
Today, electronic prescription in clinical scenarios is frequently used to support decision-making tasks and services monitoring in public health institutions. The huge amount of data that has been stored during last years about medication prescriptions makes now possible to apply data mining techniques with a significant success to discover patterns that could be useful to optimize medical services...
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