关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

Hardikkumar C. · 评论8 months之前

Bartosz S. · 评论8 months之前

Sachin P. · 评论8 months之前

Jupterlab terminal would not open

Gabriel E. · 评论8 months之前

Mamihasina R. · 评论8 months之前

Vicky S. · 评论8 months之前

Carlos T. · 评论8 months之前

Abhilash J. · 评论8 months之前

Patricio M. · 评论8 months之前

Matas S. · 评论8 months之前

David M. · 评论8 months之前

Andrew F. · 评论8 months之前

David L. · 评论8 months之前

unfinished

R G. · 评论8 months之前

Ishita J. · 评论8 months之前

JupyterLab Terminal is not starting and does not allow any input.

Matas S. · 评论8 months之前

Gaius G D. · 评论8 months之前

This python Dataflow ETL lab was better explained than the Java lab. The lab can still better explain how the various components come together and link to one another

Kaiquan M. · 评论8 months之前

It's hard to convey how irritating it is to get instructions like those shown at the bottom of my comments in a Google lab. The only thing comparable is Skillable's Challenge Labs, where they tell you up front that pithy instructions will be provided. Kindly remake this lab, and follow the tried and true format for Google labs by providing explicit instructions for those of us who are performing tasks for the first time. "Task 2. Read data from your source If you get stuck in this or later sections, you can refer to the solution."

Mark I. · 评论8 months之前

Trupti C. · 评论8 months之前

terminal is not working.

Trilokee Nath P. · 评论8 months之前

ABRAHAM A. · 评论8 months之前

Seyi A. · 评论8 months之前

I wish this was the first lab when dataflow and beam was introduced

Bianca S. · 评论8 months之前

good lab

MARCIO V. · 评论8 months之前