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Отзывы учащихся о курсе Modernizing Data Lakes and Data Warehouses with GCP от партнера Google Cloud

Оценки: 39
Рецензии: 6

О курсе

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....
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1–6 из 6 отзывов о курсе Modernizing Data Lakes and Data Warehouses with GCP

автор: Tawanda E

Jan 15, 2020

Great course that is organised in a way that makes the concepts easy to understand. Clustering is still a little confusing in terms of how it actual works behind the scenes, but how implement it and the value it adds in making quires efficient is crystal clear.

автор: Eduardo M d C

Jan 10, 2020

Execelente Treinamento!

автор: Firdaus I S

Jan 03, 2020

thanks for the material

автор: Harish K

Jan 15, 2020

Excellent presentation, demos and labs. The last lab needs to have a little more time allocated.

автор: SAJID M W

Jan 12, 2020


автор: Konstantin B

Jan 15, 2020

Key concepts like data lake, warehouse, or ETL/ELT/EL need to be explained more precisely and in stand-alone modules. Many modules/videos repeat some information on previous topics and add some new information on that topic which gives insight and is valuable but this information is not present in the video about the specific topic. This makes it more difficult to get a good foundation of the key concepts. The labs need to be more interactive and show a more diverse set of scenarios for the given concept at hand. The demos are too unorganised, the view of the GCP interface is too small to see what is going on. The demos should probably be labs instead.