Repaso y Laboratorio 1
Authored by Walter contacto
Instructional Technology
Professional Development
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8 questions
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1.
MULTIPLE SELECT QUESTION
1 min • 1 pt
¿Qué es Big Data?
Es un termino de moda utilizado por las empresas.
Hace referencia a datos q pueden ser gestionados x sist. tradicionales.
Hace referencia a datos q no pueden ser gestionados x sist. tradicionales.
Es una plataforma que todas las empresas deben usar.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
¿Qué es un Data Lake? Elegir la respuesta correcta.
No es un repositorio unificado de datos, estructurados y no estructurados
Está diseñado soportar las cargas de trabajo de Big Data y Machine Learning
Es el remplazo ideal del Data Warehouse, dado q nos permite hacer lo mismo
No prioriza el almacenamiento de los datos en su formato original
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Que es Hadoop?
VERDADERO
FALSO
4.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Cuáles son los componetes core de Hadoop?
HDFS-SPARK
YARN-HDFS
HDFS
HDFS-YARN-Map Reduce
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Laboratorio 1 - Diseño desolución / Caso 1: Descarga de Datos Relacionales:Se podría usar Apache Nifi ó/y Apache Sqoop?
VERDADERO
FALSO
6.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Laboratorio 1 - Diseño desolución / Caso 2: Análisis de Sentimientos (Leer y elegir posibles componetes)
Apache Kafka, Apache Ranger
Apache Spark, Apache Ranger
Apache Nifi, Apache Ranger, Apache Spark
Apache Ranger, Data Lake
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Laboratorio 1 - Diseño desolución / Caso 3: Análisis de Navegación Web (Leer y elegir posibles componetes)
Apache Kafka
Apache Mahout, Elasticsearch, Apache Hadoop
Apache Hadoop, Apache Kafka
Elasticsearch, Apache Kafka
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