The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.
ofrecido por
Google CloudAcerca de este Curso
56.637 vistas recientes
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Certificado para compartir
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100 % en línea
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Nivel intermedio
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Español (Spanish)
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Español (Spanish)
ofrecido por
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programa - Qué aprenderás en este curso
7 minutos para completar
Introduction
This module gives an introduction of the Data Engineering specialization and the course.
7 minutos para completar
2 videos (Total 7 minutos)
2 horas para completar
Introduction to Data Engineering
This module describes the role of a data engineer and motivates the claim why data engineering should be done in the Cloud
2 horas para completar
13 videos (Total 55 minutos)
2 horas para completar
Building a Data Lake
In this module, we describe what data lake is and how to use Google Cloud Storage as you data lake on GCP
2 horas para completar
10 videos (Total 58 minutos)
4 horas para completar
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on GCP
4 horas para completar
20 videos (Total 112 minutos), 1 lectura, 3 cuestionarios
2 minutos para completar
Summary
This module reviews all the topics covered in the course
2 minutos para completar
1 video (Total 2 minutos)
Reseñas
Principales reseñas sobre MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GCP
por AA14 de feb. de 2020
Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.
por FM16 de abr. de 2020
A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.
por BA8 de feb. de 2020
The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH. You have the chance to work with the new cloud concept on GCP.
por ME29 de ago. de 2020
I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.
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