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

Pawan S. · Revisado há over 3 years

Дмитрий М. · Revisado há over 3 years

This was a very well executed lab....the job state language is different in the cloud shell for the "completed" vs "done" states than it is in the write up

Matthew O. · Revisado há over 3 years

Marcell F. · Revisado há over 3 years

Dmytro L. · Revisado há over 3 years

Sergio C. · Revisado há over 3 years

TOOO MUC HWAITING

Cao N. · Revisado há over 3 years

Валерій Ф. · Revisado há over 3 years

Tanai A. · Revisado há over 3 years

Jameelah A. · Revisado há over 3 years

Wahyu Calvin Frans M. · Revisado há over 3 years

Osanda D. · Revisado há over 3 years

Brandon D. · Revisado há over 3 years

I was able to finish this task adding specificc zone to commands. Without the zone I was receiving similar message: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-east4-c 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 'beamapp-root-0310232422-9-03101524-b5c8-harness-9thp' creation failed: The zone 'projects/qwiklabs-gcp-04-cf57c1083ace/zones/us-east4-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later

Serhii H. · Revisado há over 3 years

Jose G. · Revisado há over 3 years

Brandon D. · Revisado há over 3 years

Ruslan S. · Revisado há over 3 years

Juan Pablo G. · Revisado há over 3 years

angelica g. · Revisado há over 3 years

MARCO DYRON R. · Revisado há over 3 years

zeeshan s. · Revisado há over 3 years

Suriya J. · Revisado há over 3 years

zeeshan s. · Revisado há over 3 years

Kaleeaswari S. · Revisado há over 3 years