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Big Data: True or False?

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Big Data: True or False?

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Assess Big Data facts.

Created by

Antonio Gutierrez Mateos
Antonio Gutierrez Mateos
Spain

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Big Data: True or False?
 

Big Data: True or False?Online version

Assess Big Data facts.

by Antonio Gutierrez Mateos
1

El Big Data se suele describir mediante las 5 V: volumen, velocidad, variedad, veracidad y valor.

2

Un lago de datos almacena datos sin procesar en su formato nativo para su posterior análisis.

3

Las bases de datos NoSQL, como MongoDB, se utilizan habitualmente en escenarios de big data por su flexibilidad de esquemas.

4

Las bases de datos relacionales son siempre la opción preferida para el almacenamiento de grandes volúmenes de datos debido a sus esquemas fijos.

5

La veracidad se refiere a la velocidad con la que los datos llegan al sistema.

6

La minería de datos nunca se utiliza en el análisis de big data.

7

El Big Data requiere procesamiento paralelo en múltiples máquinas o clústeres.

8

MapReduce es el modelo de procesamiento más rápido para todas las tareas de big data.

9

Hadoop es un marco de trabajo utilizado para almacenar y procesar grandes conjuntos de datos mediante computación distribuida.

10

Los macrodatos siempre caben en un único servidor con un esquema fijo.

 
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