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

10870 reviews

achraf e. · Reviewed over 1 year ago

Afonso P. · Reviewed over 1 year ago

DJIBRILLA B. · Reviewed over 1 year ago

Akhil N. · Reviewed over 1 year ago

Unable to continue as the pipeline.py file is not accessible with 403 Forbidden error

Meenakshi M. · Reviewed over 1 year ago

Alex N. · Reviewed over 1 year ago

Alex N. · Reviewed over 1 year 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 over 1 year 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 over 1 year ago

William M. · Reviewed over 1 year 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 over 1 year ago

shehran s. · Reviewed over 1 year ago

Nishana H. · Reviewed over 1 year ago

ok

john m. · Reviewed over 1 year ago

angel v. · Reviewed over 1 year ago

Jan Š. · Reviewed over 1 year ago

Amit G. · Reviewed over 1 year ago

Shawn B. · Reviewed over 1 year 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 over 1 year ago

Ông T. · Reviewed over 1 year ago

Ivan S. · Reviewed over 1 year 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 over 1 year ago

chirag l. · Reviewed over 1 year ago

Safeer K. · Reviewed over 1 year ago

Rafael T. · Reviewed over 1 year ago

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