ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Ulasan
60655 ulasan
PAJJURU K. · Diulas 9 bulan lalu
PADALA SATISH R. · Diulas 9 bulan lalu
Harshavardhan K. · Diulas 9 bulan lalu
Shubham J. · Diulas 9 bulan lalu
good
Kriti B. · Diulas 9 bulan lalu
HernĂ¡n V. · Diulas 9 bulan lalu
nice
Divyanshu G. · Diulas 9 bulan lalu
Sri Aneesh Gopal M. · Diulas 9 bulan lalu
Mayukha P. · Diulas 9 bulan lalu
Alok M. · Diulas 9 bulan lalu
Nice
Shivangi S. · Diulas 9 bulan lalu
thankyou
Sanjana P. · Diulas 9 bulan lalu
Vedant S. · Diulas 9 bulan lalu
Jagriti c. · Diulas 9 bulan lalu
Jagriti c. · Diulas 9 bulan lalu
nice
Chandra M. · Diulas 9 bulan lalu
Luis Fernando M. · Diulas 9 bulan lalu
John R. · Diulas 9 bulan lalu
Kanika A. · Diulas 9 bulan lalu
AurĂ©lien D. · Diulas 9 bulan lalu
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. · Diulas 9 bulan lalu
Vaishnavi I. · Diulas 9 bulan lalu
Atharv P. · Diulas 9 bulan lalu
Alexander S. · Diulas 9 bulan lalu
A-41 Aditi P. · Diulas 9 bulan lalu
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