Processamento ETL no Google Cloud com o Dataflow e o BigQuery (Python) avaliações

PADALA SATISH R. · Revisado há about 3 years

Harshavardhan K. · Revisado há about 3 years

Shubham J. · Revisado há about 3 years

good

Kriti B. · Revisado há about 3 years

Hernán V. · Revisado há about 3 years

nice

Divyanshu G. · Revisado há about 3 years

Sri Aneesh Gopal M. · Revisado há about 3 years

Mayukha P. · Revisado há about 3 years

Alok M. · Revisado há about 3 years

Nice

Shivangi S. · Revisado há about 3 years

thankyou

Sanjana P. · Revisado há about 3 years

Vedant S. · Revisado há about 3 years

Jagriti c. · Revisado há about 3 years

Jagriti c. · Revisado há about 3 years

nice

Chandra M. · Revisado há about 3 years

Luis Fernando M. · Revisado há about 3 years

John R. · Revisado há about 3 years

Kanika A. · Revisado há about 3 years

Aurélien D. · Revisado há about 3 years

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. · Revisado há about 3 years

Vaishnavi I. · Revisado há about 3 years

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Alexander S. · Revisado há about 3 years

A-41 Aditi P. · Revisado há about 3 years

Bhupendra S. · Revisado há about 3 years