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Arquitectura de datos en AWS (Nivel Medio)

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Arquitectura de datos en AWS (Nivel Medio)

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Repaso rápido de AWS: Redshift, S3, BI y streaming.

Created by

Jose Luis
Jose Luis
Mexico

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Arquitectura de datos en AWS (Nivel Medio)
 

Arquitectura de datos en AWS (Nivel Medio)Online version

Repaso rápido de AWS: Redshift, S3, BI y streaming.

by Jose Luis
1

¿Qué función cumple Amazon Redshift en una arquitectura de datos moderna?

2

¿Qué papel cumple Amazon S3 en este modelo?

3

¿Qué significa la integración Redshift–S3?

4

¿Qué servicio se utiliza para consultas ad-hoc sobre datos en S3 además de Redshift?

5

¿Qué servicio facilita dashboards y visualización de BI?

6

¿Qué canaliza el streaming de análisis en AWS según el enunciado?

7

¿Qué servicio gestiona análisis de streaming con Apache Flink en AWS?

8

¿Qué servicio se usa para procesamiento de big data en cohortes y batch?

9

¿Qué solución se utiliza para búsquedas y análisis de grandes volúmenes de logs?

10

¿En qué escenario se recomienda usar Redshift en lugar de un lago de datos puro?

11

¿Qué característica describe mejor un lago de datos en S3?

12

¿Qué servicio facilita consultas SQL serverless sobre datos en S3?

13

¿Qué herramienta se usa para crear dashboards a partir de datos en AWS?

14

¿Qué servicio permite ejecutar flujos de datos y trabajos de streaming con Apache Flink gestionado?

15

¿Qué función tiene Amazon Kinesis Data Streams?

 
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