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

achraf e. · Revisado há almost 2 years

Afonso P. · Revisado há almost 2 years

DJIBRILLA B. · Revisado há almost 2 years

Akhil N. · Revisado há almost 2 years

Unable to continue as the pipeline.py file is not accessible with 403 Forbidden error

Meenakshi M. · Revisado há almost 2 years

Alex N. · Revisado há almost 2 years

Alex N. · Revisado há almost 2 years

Lab instruction are not clear and really confusing, For example while editing the py files, it is not really explaining the place where you have to add the transformations and so on.

Saravanakumar N. · Revisado há almost 2 years

Startup of the worker pool in zone us-central1-a 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: Instance 'my-pipeline-1713806604483-04221023-0l4b-harness-jjft' creation failed: The zone 'projects/qwiklabs-gcp-01-e378a7e6bf47/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

William M. · Revisado há almost 2 years

William M. · Revisado há almost 2 years

No dataflow workers available in us-central1-a. No way to use a different zone. Worked earlier in the US day (UK).

Will N. · Revisado há almost 2 years

shehran s. · Revisado há almost 2 years

Nishana H. · Revisado há almost 2 years

ok

john m. · Revisado há almost 2 years

angel v. · Revisado há almost 2 years

Jan Š. · Revisado há almost 2 years

Amit G. · Revisado há almost 2 years

Shawn B. · Revisado há almost 2 years

Too much to accomplish is one lab. Please break it up into small section. Also, please have an TRAINING PROFESSIONAL write the steps - TOO MUCH OVER EXPLAINING!!!

Carl N. · Revisado há almost 2 years

Ông T. · Revisado há almost 2 years

Ivan S. · Revisado há almost 2 years

poor, the generated event file csv has not the correct encoding. hence the bucket cannot be json parsed. in the file user_generator.py change open("users_bq.txt", 'w') to open("users_bq.txt", 'w', encoding='utf-8') to fix it. encoding parm probably needs to be added at other places as well

Nils D. · Revisado há almost 2 years

chirag l. · Revisado há almost 2 years

Safeer K. · Revisado há almost 2 years

Rafael T. · Revisado há almost 2 years