Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews

Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews

7276 reviews

Mohd K. · Reviewed 5 months ago

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Phandit J. · Reviewed 5 months ago

I finished it

Julio Simón Pedro B. · Reviewed 5 months ago

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Matěj N. · Reviewed 5 months ago

Kunal S. · Reviewed 5 months ago

Couldn't finish - pipeline failing. 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 'xyz' creation failed: The zone 'projects/xyz/zones/us-central1-a' does not have enough resources available to fulfill the request.

Matěj N. · Reviewed 5 months ago

It seems that the quota on the VM instance of the dataflow is exceeded

Julio Simón Pedro B. · Reviewed 5 months ago

Julio Simón Pedro B. · Reviewed 5 months ago

unstable env

Alexander M. · Reviewed 5 months ago

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fei w. · Reviewed 5 months ago

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