September 2024
Intermediate to advanced
236 pages
7h 11m
Spanish
Content preview from Analítica avanzada con PySpark
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Capítulo 1. Analizar los Big Data
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Cuando la gente dice que vivimos en la era de los grandes datos, se refiere a que disponemos de herramientas para recopilar, almacenar y procesar información a una escala hasta ahora desconocida. Las siguientes tareas sencillamente no podrían haberse realizado hace 10 ó 15 años:
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Construye un modelo para detectar el fraude con tarjetas de crédito utilizando miles de características y miles de millones de transacciones
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Recomienda de forma inteligente millones de productos a millones de usuarios
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Estimar el riesgo financiero mediante simulaciones de carteras que incluyen millones de instrumentos
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Manipula fácilmente datos genómicos de miles de personas para detectar asociaciones genéticas con enfermedades
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Evaluar el uso del suelo agrícola y el rendimiento de los cultivos para mejorar la elaboración de políticas mediante el procesamiento periódico de millones de imágenes de satélite.
Detrás de estas capacidades hay un ecosistema de software de código abierto que puede aprovechar grupos de servidores para procesar cantidades masivas de datos. La introducción/lanzamiento de Apache Hadoop en 2006 ha llevado a la adopción generalizada de la informática distribuida. El ecosistema y las herramientas de big data han evolucionado a gran velocidad desde entonces. En los últimos cinco años también se han introducido y adoptado muchas ...
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