Si bien los enfoques tradicionales de usar data lakes y almacenes de datos pueden ser eficaces, tienen deficiencias, en particular en entornos empresariales grandes. En este curso, se presenta el concepto del data lakehouse y los productos de Google Cloud que se usan para crear uno. Una arquitectura de lakehouse usa fuentes de datos de estándares abiertos y combina las mejores funciones de los data lakes y los almacenes de datos, lo que aborda muchas de sus deficiencias.
Crea data lakes y almacenes de datos en Google Cloud
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Crea data lakes y almacenes de datos en Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
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97 reviews
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Diferencia entre un data lake, un almacén de datos y un data lakehouse
Explica el concepto de data lakehouse y cómo aborda las limitaciones de los data lakes y almacenes de datos tradicionales
Identifica varias fuentes de datos que BigQuery puede consultar
Reconoce las capacidades de usar BigQuery para crear modelos de IA y acceder a ellos
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Tools you'll learn
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Assessments
4 assignments
Taught in Spanish
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Showing 3 of 97
CL
Reviewed on Aug 24, 2022
Excelentes definiciones y explicaciones en términos generales.
RM
Reviewed on Oct 28, 2020
Excelentes lo concreto de las explicaciones, y todo el contenido
HB
Reviewed on Aug 23, 2021
Muy buen curso, se explica muy bien la diferencia entre los distintos tipos de almacenamiento y como manejar cada uno con las herramientas proporcionadas por GCP
