关于“ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)”的评价

PAJJURU K. · 评论9 months之前

PADALA SATISH R. · 评论9 months之前

Harshavardhan K. · 评论9 months之前

Shubham J. · 评论9 months之前

good

Kriti B. · 评论9 months之前

Hernán V. · 评论9 months之前

nice

Divyanshu G. · 评论9 months之前

Sri Aneesh Gopal M. · 评论9 months之前

Mayukha P. · 评论9 months之前

Alok M. · 评论9 months之前

Nice

Shivangi S. · 评论9 months之前

thankyou

Sanjana P. · 评论9 months之前

Vedant S. · 评论9 months之前

Jagriti c. · 评论9 months之前

Jagriti c. · 评论9 months之前

nice

Chandra M. · 评论9 months之前

Luis Fernando M. · 评论9 months之前

John R. · 评论9 months之前

Kanika A. · 评论9 months之前

Aurélien D. · 评论9 months之前

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. · 评论9 months之前

Vaishnavi I. · 评论9 months之前

Atharv P. · 评论9 months之前

Alexander S. · 评论9 months之前

A-41 Aditi P. · 评论9 months之前