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学生对 Google 云端平台 提供的 Modernizing Data Lakes and Data Warehouses with GCP 的评价和反馈

4.7
93 个评分
13 条评论

课程概述

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 - Modernizing Data Lakes and Data Warehouses with GCP 的 13 个评论(共 13 个)

创建者 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.

创建者 James W

Jan 23, 2020

Good class and a great intro to data lakes. Nice explanations on how data lakes and warehouses differ.

创建者 Ömer F B

Jan 20, 2020

very good. I liked so much. so learningful content

创建者 Javier D

Jan 20, 2020

Very interesting material

创建者 Eduardo M d C

Jan 10, 2020

Execelente Treinamento!

创建者 Firdaus I S

Jan 03, 2020

thanks for the material

创建者 Philip E

Jan 24, 2020

Lecturers are good!

创建者 Hilmi A A

Jan 25, 2020

qwe

创建者 Harish K

Jan 15, 2020

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

创建者 Ritesh K

Jan 21, 2020

Excellent lab

创建者 SAJID M W

Jan 12, 2020

good

创建者 Vishnuvahan S

Jan 25, 2020

Would have benefited students more if they could write some of their own queries for a given problem within the time limit of the labs

创建者 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.