Processamento de dados sem servidor com o Dataflow: como criar um Pipeline ETL usando Apache Beam e Dataflow (Python) avaliações

11245 avaliações

Multiple Issues in the Lab . Still now issues exist. The Termnal of Notebook is not working.

Deepak R. · Revisado há over 1 year

Joaquin S. · Revisado há over 1 year

João Pedro Gubert d. · Revisado há over 1 year

Juan Esteban D. · Revisado há over 1 year

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alvaro enrique a. · Revisado há over 1 year

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Ezequiel F. · Revisado há over 1 year

Володимир М. · Revisado há over 1 year

Mariana C. · Revisado há over 1 year

stuck in 1st step

sravya s. · Revisado há over 1 year

Patryk W. · Revisado há over 1 year

some of the steps are not clear specially in coding area

Sweta R. · Revisado há over 1 year

Jonathan P. · Revisado há over 1 year

Sadibou S. · Revisado há over 1 year

Nur Izzati A. · Revisado há over 1 year

constantly running out of resources tartup of the worker pool in zone us-east1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED:

Johannes V. · Revisado há over 1 year

Yaswanth Kumar K. · Revisado há over 1 year

It was pretty hard to finish this lab, i had issues parsing the json file, the format was not right at first, I don't know what changed but I am pretty sure I got it right the first time but something in the json parser was raising and error. After that I had issues with resources availability. I had to repeat this lab 3 times and depend on luck to finally finish it. It was not a good experience. It was raising errors even after consulting the answer script.

Alexandre Bonfim M. · Revisado há over 1 year

Horrendous, worst lab ever, literally there were no workers in us-central1 and it destroyed all the pipelines, had to run on us-west1. Not onyl that, all the instructions were really bad

Thales R. · Revisado há over 1 year

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