Chevron Left
Voltar para Modernizing Data Lakes and Data Warehouses with Google Cloud

Comentários e feedback de alunos de Modernizing Data Lakes and Data Warehouses with Google Cloud da instituição Google Cloud

4.7
estrelas
2,660 classificações

Sobre o curso

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. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course....

Melhores avaliações

AA

14 de fev 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.

LG

25 de abr de 2022

This is an excellent course to understand about Data Lakes and Data Warehouses, and how to implement them with GCP. It takes you from zero to a level where you can move confidently in GCP.

Filtrar por:

76 — 100 de 330 Avaliações para o Modernizing Data Lakes and Data Warehouses with Google Cloud

por James K

20 de dez de 2022

Great into GCP data infrastructure and capability. Helps if you know a bit of SQL

por Prasanna D H

24 de mai de 2020

Course content are easy to understand . Lab are also design well understandable.

por Vijayan N

30 de jul de 2020

Excellent course, I would highly recommend for Data Engineers / ETL developers.

por Victor I

18 de set de 2020

Great course. Lot of detailed information about BigQuery and its fundamentals

por Fernando E L M

3 de dez de 2020

Great course to have a complete overview of the GCP platform and components.

por Deshantha P

20 de abr de 2020

This was bit hard but very influential course on the certification journey!

por Eduardo H

5 de set de 2020

Very important concepts to create the path to become professionals in Data

por Peter N

1 de jun de 2020

could be more indepth and longer to help solidify the information overload

por Venu G U

8 de mai de 2020

Awesome demonstration of data lakes and data warehouse concepts using GCP.

por rashid a

29 de abr de 2020

I am really happy with the amazing quality of labs provided in this course

por Ivan E K

9 de abr de 2020

It is excellent I am so grateful to google and coursera for this education

por Pedro L

18 de abr de 2020

Amazing content, lot's of practical examples that can be applied at work.

por Ajay K

5 de mai de 2020

Very Well organised content. Labs are very hands on Great work Thank you

por Husein I K

19 de mar de 2020

I enjoyed the courses, there is clear explanation from trainer. Thanks !

por Daniel A S

4 de jul de 2020

Excelent course, the information is clear and the instructors are great

por Jakson S C

29 de abr de 2020

Excellent course I liked many and now try the services !! Thanks a lot

por RLee

25 de fev de 2020

More in-depth and systematic teaching of scripts would be recommended.

por Nicolas L

12 de mar de 2021

very good learning, especially around workload management and pricing

por Aniketh Y

15 de jul de 2021

excellent course t understand GCP concepts + lab sessionsare helpful

por Analy G L

25 de mai de 2020

Good point to start the selection of Data Lakes and Data Warehouses

por Oscar M T

12 de mar de 2022

I enjoyed it and learn techniques i can use immediately in my job

por Rahul K C

19 de abr de 2020

Very well explained concepts with n numbers of practice examples

por Siddharth S M

17 de mar de 2020

Great course in the Cloud Data Engineering Certification Journey

por Tino W

15 de fev de 2021

Great primer when familiar with GCP products. Highly recommend!

por Tony T

18 de jul de 2020

I especially liked the more thorough lab on arrays and structs.