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Desafío Big Data: Verdadero o Falso

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Desafío Big Data: Verdadero o Falso

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About this activity

Preguntas breves sobre Big Data

Created by

MARIJOSE GONZALEZ ISLAS
MARIJOSE GONZALEZ ISLAS
Mexico

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Desafío Big Data: Verdadero o Falso
 

Desafío Big Data: Verdadero o FalsoOnline version

Preguntas breves sobre Big Data

by MARIJOSE GONZALEZ ISLAS
1

Big Data solo trata de grandes volúmenes de datos numéricos y ninguno de texto o imágenes.

2

Un pipeline de Big Data típicamente incluye recolección, almacenamiento, procesamiento y consumo de datos.

3

Big Data se refiere a conjuntos de datos grandes y complejos que requieren herramientas especializadas para su manejo.

4

Se puede aplicar en comercio electrónico para analizar hábitos de compra y preferencias de clientes.

5

La calidad de los datos no afecta los resultados de los análisis de Big Data.

6

El volumen de datos no influye en la complejidad del proyecto de Big Data si ya hay muchas fuentes.

7

Tres de los conceptos clave de Big Data son volumen, velocidad y variedad (los 3Vs).

8

Para construir un PAL de Big Data se debe usar exclusivamente SQL tradicional sin herramientas de procesamiento distribuido.

9

La velocidad de procesamiento de Big Data siempre debe ser en tiempo real en todos los escenarios.

10

Es importante porque facilita la toma de decisiones basada en datos y patrones extraídos.

 
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