关于“使用 Dataflow 和 BigQuery (Python) 在 Google Cloud 上进行 ETL 处理”的评价

good

Kriti B. · 已于 almost 3 years前审核

Hernán V. · 已于 almost 3 years前审核

nice

Divyanshu G. · 已于 almost 3 years前审核

Sri Aneesh Gopal M. · 已于 almost 3 years前审核

Mayukha P. · 已于 almost 3 years前审核

Alok M. · 已于 almost 3 years前审核

Nice

Shivangi S. · 已于 almost 3 years前审核

thankyou

Sanjana P. · 已于 almost 3 years前审核

Vedant S. · 已于 almost 3 years前审核

Jagriti c. · 已于 almost 3 years前审核

Jagriti c. · 已于 almost 3 years前审核

nice

Chandra M. · 已于 almost 3 years前审核

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John R. · 已于 almost 3 years前审核

Kanika A. · 已于 almost 3 years前审核

Aurélien D. · 已于 almost 3 years前审核

The tasks require us to set up the system, read through 4 python files and run 4 dataflow jobs that take 5 minutes each, all in 1 hour? That's crazy. Oh and by the way, because Google lab is too lazy to do it, edit the Python file's typo inside a docker container that has no text editor. Oh and 1 more thing: mount the volume using $PWD, so you can end up with a docker container that doesn't have any python files. Get through all this in 1 hour. Good thing I know Docker, but even then I barely made it. Poor setup for instruction. Furthermore, telling us to read the python files to intuit the intention is already giving up as an instructor. The lab text should help describe the files, screenshot important lines and explain them. Like actually do some teaching.

John M. · 已于 almost 3 years前审核

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