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

good

Kriti B. · Revisado há almost 3 years

Hernán V. · Revisado há almost 3 years

nice

Divyanshu G. · Revisado há almost 3 years

Sri Aneesh Gopal M. · Revisado há almost 3 years

Mayukha P. · Revisado há almost 3 years

Alok M. · Revisado há almost 3 years

Nice

Shivangi S. · Revisado há almost 3 years

thankyou

Sanjana P. · Revisado há almost 3 years

Vedant S. · Revisado há almost 3 years

Jagriti c. · Revisado há almost 3 years

Jagriti c. · Revisado há almost 3 years

nice

Chandra M. · Revisado há almost 3 years

Luis Fernando M. · Revisado há almost 3 years

John R. · Revisado há almost 3 years

Kanika A. · Revisado há almost 3 years

Aurélien D. · Revisado há almost 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 almost 3 years

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Avantika T. · Revisado há almost 3 years