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Big Data: Preguntas rápidas

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Big Data: Preguntas rápidas
 

Big Data: Preguntas rápidasOnline version

Quiz fácil

by ruben
1

¿Qué significa Big Data en términos generales?

2

Cuáles son las 3 V clásicas de Big Data?

3

¿Qué herramienta de procesamiento distribuido es popular para Big Data?

4

Qué paradigma de procesamiento utiliza MapReduce?

5

¿Qué describe NoSQL?

6

¿Qué técnica permite analizar datos en tiempo real?

7

¿Qué almacena Hadoop con HDFS?

8

¿Qué implica la gobernanza de datos?

9

¿Qué es un data lake?

10

Qué describe mejor la ética de Big Data?

Explicación

Los 5Vs suelen incluir volumen, velocidad, variedad (y a veces veracidad y valor).

Las tres V clásicas son volumen, velocidad y variedad.

Hadoop facilita procesamiento y almacenamiento distribuido de grandes volúmenes de datos.

MapReduce divide la tarea en Map (mapeo) y Reduce (reducción).

NoSQL abarca bases de datos no relacionales como clave-valor, columnas, documentos, grafos.

El streaming permite analizar datos a medida que llegan, casi en tiempo real.

HDFS es el sistema de archivos de Hadoop para almacenar datos de forma distribuida.

La gobernanza cubre calidad, seguridad, privacidad y cumplimiento normativo.

Un data lake guarda datos en su formato nativo, estructurados y no estructurados.

La ética cubre privacidad, sesgos, transparencia y uso responsable de datos.

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