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Big Data Analytics: Verdadero o Falso

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Big Data

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Mexico

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Big Data Analytics: Verdadero o Falso
 

Big Data Analytics: Verdadero o FalsoOnline version

Big Data

by NIDIA AIDE RESENDIZ CORTES
1

El procesamiento en batch es más adecuado que el streaming para todos los escenarios.

2

NoSQL es adecuado para datos semiestructurados y escalabilidad horizontal.

3

Apache Spark permite procesamiento en memoria para análisis rápidos.

4

El análisis de Big Data siempre requiere bases de datos relacionales para funcionar.

5

La minería de datos y el aprendizaje automático no forman parte de Big Data Analytics.

6

Hadoop utiliza HDFS como sistema de archivos distribuido.

7

Las tres Vs tradicionales son volumen, variedad y velocidad.

8

MapReduce de Hadoop no funciona con datos estructurados.

9

Big Data Analytics se enfoca en extraer valor de grandes volúmenes de datos.

10

Spark no puede integrarse con herramientas de BI.

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