BI-componentes y Modelos
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Transcript of BI-componentes y Modelos
INTELIGENCIA DE NEGOCIOS
Mg. Sergio Valladares Castillo
Introducción
Business Intelligence es un set de tecnologías que van desde arquitecturas para almacenar datos, metodologías, técnicas para analizar información y software entre otros, con un fin común para el apoyo a la toma de decisiones.
Definiciones
Sistemas operacionales Metadatos fuente Proceso ETL Datawarehouse, Datamart Modelo estrella, Modelo copo de nieve Indicadores, tabla de hechos,
dimensiones Cubos, modelo multidimensional OLAP, MOLAP, ROLAP, HOLAP
Componentes
Modelo estrella
Modelo copo de nieve
Propuesta de Kimball
Kimball, in 1997, stated that "...the data warehouse is nothing more than the
union of all the data marts", Kimball indicates a bottom-up data
warehousing methodology in which individual data marts providing thin views into
the organizational data could be created and later combined into a
larger all-encompassing data warehouse.
Propuesta Kimball
Propuesta INMON
Inmon responded in 1998 by saying, "You can catch all the minnows in the ocean
and stack them together and they still do not make a whale," This indicates the opposing view that the data
warehouse should be designed from the top-down to include all
corporate data. In this methodology, data marts are created only after
the complete data warehouse has been created.
Propuesta INMON
Modelo de R. Kimball
Business Dimensional LifeCycle
Metodologías
Hefesto Data Warehouse Engineering Process Road Map Rapid Warehousing Methodology Crisp-DM (CROSS Industry Standard
Process for Data Mining) Business intelligence – unified process
OpenUP para BI Concepción:
OpenUP para BI Elaboración:
OpenUP para BI Construcción: