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Control de Duplicados

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Control de Duplicados

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About this activity

Quiz para evitar duplicados en datos

Created by

Daniel Encarnacion
Daniel Encarnacion
Dominican Republic

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Control de Duplicados
 

Control de DuplicadosOnline version

Quiz para evitar duplicados en datos

by Daniel Encarnacion
1

¿Qué es la deduplicación de datos?

2

¿Cuál es una técnica común para identificar duplicados exactos?

3

¿Qué tipo de duplicados se detecta mejor con hashing?

4

¿Qué es un registro único?

5

¿Qué técnica ayuda a detectar duplicados con ligeras variaciones en texto?

6

¿Qué acción se recomienda antes de deduplicar?

7

¿Qué rol juega la normalización de datos en deduplicación?

8

¿Qué es un duplicado suave?

9

¿Qué problema puede ocurrir si se deduplica sin reglas claras?

10

¿Qué enfoque combina la deduplicación con mantenimiento de historial?

Explicación

La deduplicación elimina para obtener unicidad.

La coincidencia exacta usa campos idénticos.

Hashing compara contenido exacto. difusos requieren fuzzy matching.

Unívoco respecto al criterio de duplicidad.

Fuzzy matching identifica similitudes no exactas.

Siempre conviene respaldar antes de borrar.

La normalización unifica formatos para comparar.

Son parecidos, no exactos.

Podría eliminar información única necesaria.

Versionado guarda cambios para trazabilidad.

 
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