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

alvaro enrique a. · 评论over 1 year之前

Jonathan P. · 评论over 1 year之前

Ezequiel F. · 评论over 1 year之前

Володимир М. · 评论over 1 year之前

Mariana C. · 评论over 1 year之前

stuck in 1st step

sravya s. · 评论over 1 year之前

Patryk W. · 评论over 1 year之前

some of the steps are not clear specially in coding area

Sweta R. · 评论over 1 year之前

Jonathan P. · 评论over 1 year之前

Sadibou S. · 评论over 1 year之前

Nur Izzati A. · 评论over 1 year之前

constantly running out of resources tartup of the worker pool in zone us-east1-b 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:

Johannes V. · 评论over 1 year之前

Yaswanth Kumar K. · 评论over 1 year之前

It was pretty hard to finish this lab, i had issues parsing the json file, the format was not right at first, I don't know what changed but I am pretty sure I got it right the first time but something in the json parser was raising and error. After that I had issues with resources availability. I had to repeat this lab 3 times and depend on luck to finally finish it. It was not a good experience. It was raising errors even after consulting the answer script.

Alexandre Bonfim M. · 评论over 1 year之前

Horrendous, worst lab ever, literally there were no workers in us-central1 and it destroyed all the pipelines, had to run on us-west1. Not onyl that, all the instructions were really bad

Thales R. · 评论over 1 year之前

Very badly explained and written

I G. · 评论over 1 year之前

Agustin E. · 评论over 1 year之前

Isaac G. · 评论over 1 year之前

i got stuck and the linked solution was literally just an outline and contained no guidance on the transformation or writing pcollection *|:

brian w. · 评论over 1 year之前

Chandra M. · 评论over 1 year之前

jupyther notebook is not reachable

Philip T. · 评论over 1 year之前

Ashutosh M. · 评论over 1 year之前

Heejung K. · 评论over 1 year之前

Unclear instructions regarding the parameters of the job, like the schema and name of the table. Even after copying the code from the solution and running with DirectRunner, the Lab didn't accept the solution.

Eloy E. · 评论over 1 year之前

Krzysztof S. · 评论over 1 year之前