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 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.
ofrecido por
Google CloudAcerca de este Curso
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Fechas lÃmite flexibles
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Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 7 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
Qué aprenderás
Understand the differences between data lakes and data warehouses, the two key components of any data pipeline.
Explore use-cases for each type of storage and dive into the available data lake and warehouse solutions on Google Cloud in technical detail.
Understand the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel intermedio
Aprox. 7 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
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
4 minutos para completar
Introduction
This module introduces the Data Engineering on Google Cloud source series and this Modernizing Data Lakes and Data Warehouses with Google Cloud course.
4 minutos para completar
2 videos (Total 4 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
14 videos (Total 41 minutos)
2 horas para completar
Building a Data Lake
In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.
2 horas para completar
8 videos (Total 42 minutos)
4 horas para completar
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
4 horas para completar
16 videos (Total 91 minutos)
2 minutos para completar
Summary
A summary of the key learning points
2 minutos para completar
1 video (Total 2 minutos)
Reseñas
- 5 stars72,71Â %
- 4 stars22,92Â %
- 3 stars3,31Â %
- 2 stars0,73Â %
- 1 star0,30Â %
Principales reseñas sobre MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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 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 SG19 de jul. de 2020
This is a great course for people wishing to make a career in Data Engineering on the Google Cloud Platform. Highly recommended! Its simply superb!
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