Resumen

SALCEDO PARRA, Octavio J; GALEANO, Rita Milena  y  RODRIGUEZ B, Luis G. Methodology crisp for data warehouse implementation. Tecnura [online]. 2010, vol.14, n.26, pp.35-48. ISSN 0123-921X.

Currently, the generation of crystal clear reports, concise and above all based on true corporate information is a fundamental element in decision making, because this imminent need arises data warehouse as an essential resource for conducting the process, primarily founded on the philosophy using the concept OLAP and EIS and DSS for the completion of reports. Within the processes carried out for construction of the data warehouse is mainly involving the extraction, processing and handling Information for further definition of the metadata which in turn are used to define the data warehouse as an integrated system. The trend towards pointing BI, is to the dissemination of information both management and to all who need it from different dimensions and levels associated in order to obtain consolidated or detailed reports to facilitate the synthesis of certain business process that directly impact the decision-making, which at last is the same purpose of the data warehouse. To carry out the implementation of this process is necessary to have an appropriate methodology, so that the project was designed under the structure of international standards, which are the foundation for obtaining excellent results on project implementation.

Palabras clave : Databases; Cubes; Dimensions; Star structure; Metadata; Subsystems; Real time.

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