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Big Data Con Herramientas de Sas. SAS Visual Analytics, SAS Visual Statistics Y SAS High Performance Analytics

Big Data Con Herramientas de Sas. SAS Visual Analytics, SAS Visual Statistics Y SAS High Performance Analytics

          
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About the Book

Las técnicas de Big Data constituyen un enfoque nuevo de cómo almacenar, gestionar y analizar todos los datos que genera una organización para una óptima toma de decisiones. Estos datos son tanto estructurados como no estructurados y provienen de diferentes fuentes como el correo electrónico, imágenes médicas, dispositivos móviles, redes sociales, etc. En definitiva, el origen de los datos son todas las nuevas fuentes que han surgido en los últimos años. Lo que entendemos por Big Data, y todas las tecnologías asociadas (Analytics), es convertir los datos en información útil para la toma de decisiones en cualquier organización. Se trata de conseguir un acercamiento proactivo al cliente mediante entornos analíticos que sean fiables y escalables, y permitan crear nuevos productos, modelos de negocio, etc. Y todo esto conlleva la adaptación de procesos y tecnologías porque hay que analizar los datos de una manera diferente. Ya no se puede gestionar el Big Data con las bases de datos relacionales y aplicaciones de Business Intelligence tradicionales. Esa gestión se lleva haciendo desde hace muchos años, pero ahora requiere adoptar un nuevo enfoque. Hay que cambiar los procesos de negocio y las bases de datos relacionales que antes teníamos. Porque ahora los datos proceden de muchas fuentes diferentes, por lo que hay que utilizar tecnologías nuevas para explotarlas. El análisis transaccional que se hace ahora de los datos es completamente diferente, así como las tecnologías que la capturan, almacenan, gestionan y recuperan. El Big Data incluye desde la captura del dato hasta el almacenamiento, gestión, análisis de procesos y datos y la consulta de la información. Ello exige gestionar diferentes modelos y escalabilidades en cuanto a los datos. El Big Data implica un cambio de enfoque en tecnología, porque se necesita una escalabilidad importante; y en aplicaciones, porque el dato es el centro de gravedad. Todos los sectores son susceptibles de utilizar la tecnología Big Data, desde el sector financiero, energético, telefonía móvil, Administración Pública, investigación, etc. Por ejemplo, son típicos los proyectos en entidades financieras que, con tecnología de almacenamiento y análisis de información, tienen diferentes datos de clientes en distintas fuentes y sistemas de transacciones. Estos datos relativos deben agruparse de forma inteligente para permitir hacer segmentación con la finalidad de poder ofrecer los productos más adecuados en función de la capacidad adquisitiva, el nivel de riesgo, inversiones, etc. Lo mismo ocurre en la Administración, que tiene multitud de datos y expedientes, que pueden entrecruzar entre los distintos organismos, locales y centrales, para mejorar el servicio al ciudadano. En resumen, las empresas e instituciones que buscan la agilidad del negocio necesitan una manera de analizar todos estos datos estructurados y no estructurados aplicando adecuadamente las técnicas y herramientas del Big Data y Analytics. En este libro se desarrollan las técnicas de Big Data utilizando herramientas de SAS como SAS Visual Analytics, SAS Visual Statistics, SAS High Performance Analytics y SAS In-Memory Statistics


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Product Details
  • ISBN-13: 9781978332515
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Language: Spanish
  • ISBN-10: 1978332513
  • Publisher Date: 16 Oct 2017
  • Binding: Paperback


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