关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

Eonryoung K. · 评论5 months之前

Pablo C. · 评论5 months之前

BRAYAN ALDAIR A. · 评论5 months之前

Archana M. · 评论5 months之前

Martin T. · 评论5 months之前

achraf e. · 评论5 months之前

Afonso P. · 评论5 months之前

DJIBRILLA B. · 评论5 months之前

Akhil N. · 评论5 months之前

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

Meenakshi M. · 评论5 months之前

Alex N. · 评论5 months之前

Alex N. · 评论5 months之前

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. · 评论5 months之前

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. · 评论5 months之前

William M. · 评论5 months之前

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

Will N. · 评论5 months之前

shehran s. · 评论5 months之前

Nishana H. · 评论5 months之前

ok

john m. · 评论5 months之前

angel v. · 评论5 months之前

Jan Š. · 评论5 months之前

Amit G. · 评论5 months之前

Shawn B. · 评论5 months之前

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. · 评论5 months之前

Ông T. · 评论5 months之前