ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

MADHUSUDHANA VAMSI V. · Reviewed yaklaşık 1 yıl ago

Vinod K. · Reviewed yaklaşık 1 yıl ago

MADHUSUDHANA VAMSI V. · Reviewed yaklaşık 1 yıl ago

Tetra L. · Reviewed yaklaşık 1 yıl ago

Oleksandr O. · Reviewed yaklaşık 1 yıl ago

Abdullah A. · Reviewed yaklaşık 1 yıl ago

Mohit A. · Reviewed yaklaşık 1 yıl ago

Rawan A. · Reviewed yaklaşık 1 yıl ago

Rawan A. · Reviewed yaklaşık 1 yıl ago

Pawan S. · Reviewed yaklaşık 1 yıl ago

Дмитрий М. · Reviewed yaklaşık 1 yıl ago

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. · Reviewed yaklaşık 1 yıl ago

Marcell F. · Reviewed yaklaşık 1 yıl ago

Dmytro L. · Reviewed yaklaşık 1 yıl ago

Sergio C. · Reviewed yaklaşık 1 yıl ago

TOOO MUC HWAITING

Cao N. · Reviewed yaklaşık 1 yıl ago

Валерій Ф. · Reviewed yaklaşık 1 yıl ago

Tanai A. · Reviewed yaklaşık 1 yıl ago

excellent lab

Girish K. · Reviewed yaklaşık 1 yıl ago

Jameelah A. · Reviewed yaklaşık 1 yıl ago

Wahyu Calvin Frans M. · Reviewed yaklaşık 1 yıl ago

Osanda D. · Reviewed yaklaşık 1 yıl ago

Brandon D. · Reviewed yaklaşık 1 yıl ago

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. · Reviewed yaklaşık 1 yıl ago

Jose G. · Reviewed yaklaşık 1 yıl ago