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Froggy Jumps
Froggy Jumps

Repaso Semana 1 y 2

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Repaso Semana 1 y 2

Froggy Jumps

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About this activity

Captura y almacenamiento de Big Data

Created by

Fanny Esther Berigüete Alcantara
Fanny Esther Berigüete Alcantara
Spain

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Repaso Semana 1 y 2
 

Froggy Jumps

Repaso Semana 1 y 2Online version

Captura y almacenamiento de Big Data

by Fanny Esther Berigüete Alcantara
1

¿Qué significa ETL en el contexto de datos urbanos?

2

¿Qué es un data warehouse?

3

¿Qué es un data lake?

4

Qué significa ELT frente a ETL?

5

Ejemplo urbano de ETL en movilidad?

6

Qué problema de datos busca garantizar ETL?

7

Qué es un data lakehouse?

8

Rol del ETL en la planificación urbana?

9

¿Qué tipo de base de datos es más adecuada para datos no estructurados y escalabilidad horizontal?

10

¿Cuál de las siguientes NO es una de las “5V” clásicas del Big Data?

11

¿Qué tipo de datos incluye texto, imágenes y videos sin una estructura fija?

12

¿Cuál de las siguientes es una fuente típica de captura de datos en tiempo real?

13

¿Cuál de las siguientes bases de datos es más adecuada para procesamiento en tiempo real gracias a su velocidad muy alta y almacenamiento en memoria?

14

¿Cuál de las siguientes barreras NO se menciona como un obstáculo para la implementación de sistemas urbanos en Ecuador?

 
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