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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,...
Planning and development an data warehouse ETL (Extraction, Transformation and Load) system, is typically a complex and time consuming task whose complexity is highly influenced not only by the amount of data to analyze, but also the computational effort required to integrate these data in same data structure and storage model in order to load it into a final data repository. Despite its enormous...
Data Warehouses are refreshed periodically with data from source systems. Nevertheless this data is not only related to new facts, but also to dimension data. Some dimensions have the particularity of evolving through time, either by having new data or by changes that occur in source systems and must be reflected in the data warehouses. Dealing with these, so called, Slowly Changing Dimensions is...
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