ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

Hernán V. · Reviewed almost 3 years ago

nice

Divyanshu G. · Reviewed almost 3 years ago

Sri Aneesh Gopal M. · Reviewed almost 3 years ago

Mayukha P. · Reviewed almost 3 years ago

Alok M. · Reviewed almost 3 years ago

Nice

Shivangi S. · Reviewed almost 3 years ago

thankyou

Sanjana P. · Reviewed almost 3 years ago

Vedant S. · Reviewed almost 3 years ago

Jagriti c. · Reviewed almost 3 years ago

Jagriti c. · Reviewed almost 3 years ago

nice

Chandra M. · Reviewed almost 3 years ago

Luis Fernando M. · Reviewed almost 3 years ago

John R. · Reviewed almost 3 years ago

Kanika A. · Reviewed almost 3 years ago

Aurélien D. · Reviewed almost 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 almost 3 years ago

Vaishnavi I. · Reviewed almost 3 years ago

Atharv P. · Reviewed almost 3 years ago

Alexander S. · Reviewed almost 3 years ago

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

Bhupendra S. · Reviewed almost 3 years ago

Hiram S. · Reviewed almost 3 years ago

Puru J. · Reviewed almost 3 years ago

Avantika T. · Reviewed almost 3 years ago

Manav R. · Reviewed almost 3 years ago