Are You Ready for the New BI Architecture?
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Questions and Answers

¿Qué componentes debería incluir la nueva arquitectura de BI?

  • Plataforma de análisis de redes sociales, Plataforma de gestión de Big Data y Plataforma de análisis de datos de IoT
  • Plataforma de análisis predictivo, Plataforma de minería de datos y Plataforma de gestión de datos maestros
  • Plataforma de análisis y visualización de datos, Plataforma de integración de datos y Plataforma de almacén de datos históricos
  • Plataforma de análisis y investigación computacional, Plataforma de refinamiento de datos y Plataforma de almacén de datos en tiempo real (correct)
  • ¿Qué tipo de análisis se puede realizar en la plataforma de análisis y investigación computacional?

  • Análisis de hipótesis, análisis de riesgo y análisis de sensibilidad
  • Análisis de causa-efecto, análisis de patrones y análisis de datos no planificados (correct)
  • Análisis de correlación, análisis de desviación y análisis de frecuencia
  • Análisis de series de tiempo, análisis de regresión y análisis de varianza
  • ¿Qué tipo de fuentes de datos pueden capturarse en la plataforma de refinamiento de datos?

  • Fuentes de datos históricos y estructurados
  • Fuentes de datos digitales y no estructurados (correct)
  • Fuentes de datos de transacciones y financieros
  • Fuentes de datos de IoT y redes sociales
  • Study Notes

    • Traditional Datawarehouse and BI infrastructures do not meet current needs for handling massive and heterogeneous data, computational research-based analysis, and real-time data analysis.
    • Hadoop and other technologies for managing relational and non-relational data require expanding the traditional BI model and adding new components to the architecture.
    • The new BI architecture should include three components: an Analytics and Computational Research Platform, a Data Refinery Platform, and a Real-time Data Warehouse Platform.
    • The Analytics and Computational Research Platform is used for data exploration and creating new analytical models based on data mining, cause-effect analysis, what-if analysis, pattern analysis, and unplanned data research.
    • The Data Refinery Platform captures detailed data from various digital sources and converts it into useful information for advanced analytics or the enterprise data warehouse.
    • New platforms require more flexible data management policies in terms of security, privacy, quality, storage, and data elimination.
    • The Data Refinery Platform converts unstructured and structured data into useful information.
    • The Real-time Data Warehouse Platform uses the output information from the Data Refinery Platform for analysis.
    • The Analytics and Computational Research Platform can be used partially or fully by companies as an extension of their data refinery applications.
    • The Data Refinery Platform captures data in batches or real-time from various sources such as sensors, social networks, and RFIDs.

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    Description

    Are you up-to-date with the latest trends in Business Intelligence architecture? Test your knowledge with our quiz on the three essential components of the new BI architecture: Analytics and Computational Research Platform, Data Refinery Platform, and Real-time Data Warehouse Platform. Learn how these platforms are used for data exploration, data capture and conversion, and real-time analysis. Discover the importance of flexible data management policies and how the Data Refinery Platform converts unstructured and structured data into useful information. Take the quiz now to see

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