October 2024
Intermediate to advanced
638 pages
15h 47m
Spanish
Content preview from Libro de cocina de Java, 4ª edición
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Capítulo 11. Ciencia de datos y R
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La ciencia de los datos es una disciplina relativamente nueva que llamó la atención de muchos por primera vez con esteartículo de Mike Loukides, de O'Reilly, publicado en. Aunque existen muchas definiciones en este campo, Loukides destila en esta definición su detallada observación y participación en el mismo:
Una aplicación de datos adquiere su valor de los propios datos, y crea más datos como resultado. No es sólo una aplicación con datos; es un producto de datos. La ciencia de datos permite crear productos de datos.
Uno de los principales ecosistemas de código abierto para software de ciencia de datos está en Apache e incluyeHadoop(que incluye el sistema de archivos distribuido HDFS, Hadoop Map/Reduce,1 el almacén de objetos Ozone y el programador Yarn), labase de datos distribuida Cassandra y el motor de cálculo Spark. Lee la sección "Módulos y herramientas relacionadas" de la página de Hadoop para obtener una lista actualizada.
Lo interesante aquí es que gran parte de esta infraestructura, que los científicos de datos dan por sentada, está escrita en Java y Scala (un lenguaje JVM). Gran parte del resto está escrito en Python, un lenguaje que complementa a Java.
Los problemas de la ciencia de datos pueden implicar mucha configuración, por lo que sólo daremos un ejemplo de DS tradicional, utilizando el framework Spark. Spark ...
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