ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews
80312 reviews
Easy to understand. It was good to link the code with the visual pipeline on dataflow. Before this lab, I didn't know what runs under the hood.
Renan B. · Reviewed 3 yıldan fazla ago
Bohdan S. · Reviewed 3 yıldan fazla ago
Juan José A. · Reviewed 3 yıldan fazla ago
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David S. · Reviewed 3 yıldan fazla ago
Andrew K. · Reviewed 3 yıldan fazla ago
A job cmd to create the ingest data table failed due to lack of resource in us-east4 zone. spending lots of time troubleshooting, and enough time to finish the lab. I had to fix the cmd to run it in another region us-east1 to pass the step. It would be better to provide some tips if unexpected errors happens and how to workaround it. python dataflow_python_examples/data_ingestion.py \ Here is the error INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-12_10_47_49-16096364461910794384 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-12T17:48:31.918Z: 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-0312174747-5-03121047-burs-harness-w27q' creation failed: The zone 'projects/qwiklabs-gcp-02-2513142a1690/zones/us-east4-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-12T17:48:31.935Z: JOB_MESSAGE_ERROR: Workflow failed.
Steve L. · Reviewed 3 yıldan fazla ago
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Wahyu Calvin Frans M. · Reviewed 3 yıldan fazla ago
MADHUSUDHANA VAMSI V. · Reviewed 3 yıldan fazla ago
Vinod K. · Reviewed 3 yıldan fazla ago
MADHUSUDHANA VAMSI V. · Reviewed 3 yıldan fazla ago
Tetra L. · Reviewed 3 yıldan fazla ago
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Rawan A. · Reviewed 3 yıldan fazla ago
Pawan S. · Reviewed 3 yıldan fazla ago
Дмитрий М. · Reviewed 3 yıldan fazla 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 3 yıldan fazla ago
Marcell F. · Reviewed 3 yıldan fazla ago
Dmytro L. · Reviewed 3 yıldan fazla ago
Sergio C. · Reviewed 3 yıldan fazla ago
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