Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews
11245 reviews
achraf e. · Reviewed almost 2 years ago
Afonso P. · Reviewed almost 2 years ago
DJIBRILLA B. · Reviewed almost 2 years ago
Akhil N. · Reviewed almost 2 years ago
Unable to continue as the pipeline.py file is not accessible with 403 Forbidden error
Meenakshi M. · Reviewed almost 2 years ago
Alex N. · Reviewed almost 2 years ago
Alex N. · Reviewed almost 2 years ago
Lab instruction are not clear and really confusing, For example while editing the py files, it is not really explaining the place where you have to add the transformations and so on.
Saravanakumar N. · Reviewed almost 2 years ago
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 'my-pipeline-1713806604483-04221023-0l4b-harness-jjft' creation failed: The zone 'projects/qwiklabs-gcp-01-e378a7e6bf47/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.
William M. · Reviewed almost 2 years ago
William M. · Reviewed almost 2 years ago
No dataflow workers available in us-central1-a. No way to use a different zone. Worked earlier in the US day (UK).
Will N. · Reviewed almost 2 years ago
shehran s. · Reviewed almost 2 years ago
Nishana H. · Reviewed almost 2 years ago
ok
john m. · Reviewed almost 2 years ago
angel v. · Reviewed almost 2 years ago
Jan Š. · Reviewed almost 2 years ago
Amit G. · Reviewed almost 2 years ago
Shawn B. · Reviewed almost 2 years ago
Too much to accomplish is one lab. Please break it up into small section. Also, please have an TRAINING PROFESSIONAL write the steps - TOO MUCH OVER EXPLAINING!!!
Carl N. · Reviewed almost 2 years ago
Ông T. · Reviewed almost 2 years ago
Ivan S. · Reviewed almost 2 years ago
poor, the generated event file csv has not the correct encoding. hence the bucket cannot be json parsed. in the file user_generator.py change open("users_bq.txt", 'w') to open("users_bq.txt", 'w', encoding='utf-8') to fix it. encoding parm probably needs to be added at other places as well
Nils D. · Reviewed almost 2 years ago
chirag l. · Reviewed almost 2 years ago
Safeer K. · Reviewed almost 2 years ago
Rafael T. · Reviewed almost 2 years ago
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