Processamento ETL no Google Cloud com o Dataflow e o BigQuery (Python) avaliações
60822 avaliações
MADHUSUDHANA VAMSI V. · Revisado há about 1 year
Vinod K. · Revisado há about 1 year
MADHUSUDHANA VAMSI V. · Revisado há about 1 year
Tetra L. · Revisado há about 1 year
Oleksandr O. · Revisado há about 1 year
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Rawan A. · Revisado há about 1 year
Pawan S. · Revisado há about 1 year
Дмитрий М. · Revisado há about 1 year
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 about 1 year
Marcell F. · Revisado há about 1 year
Dmytro L. · Revisado há about 1 year
Sergio C. · Revisado há about 1 year
TOOO MUC HWAITING
Cao N. · Revisado há about 1 year
Валерій Ф. · Revisado há about 1 year
Tanai A. · Revisado há about 1 year
excellent lab
Girish K. · Revisado há about 1 year
Jameelah A. · Revisado há about 1 year
Wahyu Calvin Frans M. · Revisado há about 1 year
Osanda D. · Revisado há about 1 year
Brandon D. · Revisado há about 1 year
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 about 1 year
Jose G. · Revisado há about 1 year
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