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

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. · Revisado há over 3 years

Bohdan S. · Revisado há over 3 years

Juan José A. · Revisado há over 3 years

Sergio C. · Revisado há over 3 years

David S. · Revisado há over 3 years

Andrew K. · Revisado há over 3 years

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. · Revisado há over 3 years

Shankar Prasaad R. · Revisado há over 3 years

Vivek K. · Revisado há over 3 years

Wahyu Calvin Frans M. · Revisado há over 3 years

MADHUSUDHANA VAMSI V. · Revisado há over 3 years

Vinod K. · Revisado há over 3 years

MADHUSUDHANA VAMSI V. · Revisado há over 3 years

Tetra L. · Revisado há over 3 years

Oleksandr O. · Revisado há over 3 years

Abdullah A. · Revisado há over 3 years

Mohit A. · Revisado há over 3 years

Rawan A. · Revisado há over 3 years

Rawan A. · Revisado há over 3 years

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