在 Google Cloud 上使用 Dataflow 和 BigQuery 處理 ETL 作業 (Python) Reviews

PADALA SATISH R. · Reviewed about 3 years ago

Harshavardhan K. · Reviewed about 3 years ago

Shubham J. · Reviewed about 3 years ago

good

Kriti B. · Reviewed about 3 years ago

Hernán V. · Reviewed about 3 years ago

nice

Divyanshu G. · Reviewed about 3 years ago

Sri Aneesh Gopal M. · Reviewed about 3 years ago

Mayukha P. · Reviewed about 3 years ago

Alok M. · Reviewed about 3 years ago

Nice

Shivangi S. · Reviewed about 3 years ago

thankyou

Sanjana P. · Reviewed about 3 years ago

Vedant S. · Reviewed about 3 years ago

Jagriti c. · Reviewed about 3 years ago

Jagriti c. · Reviewed about 3 years ago

nice

Chandra M. · Reviewed about 3 years ago

Luis Fernando M. · Reviewed about 3 years ago

John R. · Reviewed about 3 years ago

Kanika A. · Reviewed about 3 years ago

Aurélien D. · Reviewed about 3 years ago

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. · Reviewed about 3 years ago

Vaishnavi I. · Reviewed about 3 years ago

Atharv P. · Reviewed about 3 years ago

Alexander S. · Reviewed about 3 years ago

A-41 Aditi P. · Reviewed about 3 years ago

Bhupendra S. · Reviewed about 3 years ago