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

Martin T. · Revisado há over 1 year

achraf e. · Revisado há over 1 year

Afonso P. · Revisado há over 1 year

DJIBRILLA B. · Revisado há over 1 year

Akhil N. · Revisado há over 1 year

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

Meenakshi M. · Revisado há over 1 year

Alex N. · Revisado há over 1 year

Alex N. · Revisado há over 1 year

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 over 1 year

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 over 1 year

William M. · Revisado há over 1 year

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 over 1 year

shehran s. · Revisado há over 1 year

Nishana H. · Revisado há over 1 year

ok

john m. · Revisado há over 1 year

angel v. · Revisado há over 1 year

Jan Š. · Revisado há over 1 year

Amit G. · Revisado há over 1 year

Shawn B. · Revisado há over 1 year

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 over 1 year

Ông T. · Revisado há over 1 year

Ivan S. · Revisado há over 1 year

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 over 1 year

chirag l. · Revisado há over 1 year

Safeer K. · Revisado há over 1 year