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

Harshavardhan K. · Reviewed 9 months ago

Shubham J. · Reviewed 9 months ago

good

Kriti B. · Reviewed 9 months ago

Hernán V. · Reviewed 9 months ago

nice

Divyanshu G. · Reviewed 9 months ago

Sri Aneesh Gopal M. · Reviewed 9 months ago

Mayukha P. · Reviewed 9 months ago

Alok M. · Reviewed 9 months ago

Nice

Shivangi S. · Reviewed 9 months ago

thankyou

Sanjana P. · Reviewed 9 months ago

Vedant S. · Reviewed 9 months ago

Jagriti c. · Reviewed 9 months ago

Jagriti c. · Reviewed 9 months ago

nice

Chandra M. · Reviewed 9 months ago

Luis Fernando M. · Reviewed 9 months ago

John R. · Reviewed 9 months ago

Kanika A. · Reviewed 9 months ago

Aurélien D. · Reviewed 9 months 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 9 months ago

Vaishnavi I. · Reviewed 9 months ago

Atharv P. · Reviewed 9 months ago

Alexander S. · Reviewed 9 months ago

A-41 Aditi P. · Reviewed 9 months ago

Bhupendra S. · Reviewed 9 months ago

Hiram S. · Reviewed 9 months ago