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

achraf e. · Examiné il y a presque 2 ans

Afonso P. · Examiné il y a presque 2 ans

DJIBRILLA B. · Examiné il y a presque 2 ans

Akhil N. · Examiné il y a presque 2 ans

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

Meenakshi M. · Examiné il y a presque 2 ans

Alex N. · Examiné il y a presque 2 ans

Alex N. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

William M. · Examiné il y a presque 2 ans

No dataflow workers available in us-central1-a. No way to use a different zone. Worked earlier in the US day (UK).

Will N. · Examiné il y a presque 2 ans

shehran s. · Examiné il y a presque 2 ans

Nishana H. · Examiné il y a presque 2 ans

ok

john m. · Examiné il y a presque 2 ans

angel v. · Examiné il y a presque 2 ans

Jan Š. · Examiné il y a presque 2 ans

Amit G. · Examiné il y a presque 2 ans

Shawn B. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

Ông T. · Examiné il y a presque 2 ans

Ivan S. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

chirag l. · Examiné il y a presque 2 ans

Safeer K. · Examiné il y a presque 2 ans

Rafael T. · Examiné il y a presque 2 ans