리뷰 Dataflow를 사용한 서버리스 데이터 처리 - Apache Beam 및 Dataflow를 사용한 ETL 파이프라인 작성(Python)개

I literally cannot complete the lab because worker nodes cannot be provisioned... It's frustrating that I'll have to retake the entire lab because of IAM permissions even after I checked based on the initial instructions in the lab. I understand that labs should be fairly quick or close to expected time to complete, but this should be the time that learners are able to practice and try different code! Since I have to access through Citrix VDI, I cannot copy code between windows.... PLEASE DOUBLE THE TIME TO COMPLETE LABS. This is infuriating.

Max G. · 대략 1개월 전에 리뷰됨

Dont work

Dieter H. · 대략 1개월 전에 리뷰됨

Jenny B. · 대략 1개월 전에 리뷰됨

This training needs some advanced knowledge of Python and concepts ... I blindly followed upto the first half not even knowing what a pipeline is, or what I am achieving.

Ajit V. · 대략 1개월 전에 리뷰됨

IGNACIO NICOLAS P. · 대략 1개월 전에 리뷰됨

i copied the transform.js file to the bucket but clicking update progress did not work, no points were added to my score

Alfredo V. · 대략 1개월 전에 리뷰됨

dataflow resources could not be fulfilled

Alfredo V. · 대략 1개월 전에 리뷰됨

The DataFlow job keeps failing to complete (No worker available). Even using the solution code did not solve the problem.

Azlan Shah A. · 대략 1개월 전에 리뷰됨

Sandeep G. · 대략 1개월 전에 리뷰됨

bad instructions

RODRIGO BENJAMIN U. · 대략 1개월 전에 리뷰됨

Lab is unable to verify transform.js file copy to cloud storage. so unable to proceed with the lab

swanand a. · 대략 1개월 전에 리뷰됨

Lalith A. · 대략 1개월 전에 리뷰됨

Pankaj D. · 대략 1개월 전에 리뷰됨

6 veces que trato de hacerlo y el job no tiene la cuota de trabajo necesaria para conseguir los trabajdores y correr el pipeline

YOSVANI . A. · 대략 1개월 전에 리뷰됨

Miroslav D. · 대략 1개월 전에 리뷰됨

pure waste of time. what we are getting after spending hours on this lab, unable to allocate resources. so please make sure that resources are available for these labs otherwise dont start lab at all. Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers. This is likely a quota issue or a Compute Engine stockout. The service will retry. For troubleshooting steps, see https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED: Instance 'my-pipeline-1778347219925-05091020-tp78-harness-nwgc' creation failed: The zone 'projects/qwiklabs-gcp-03-5372f69668b7/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

swanand a. · 대략 1개월 전에 리뷰됨

The DataFlow job keeps failing to complete. Even using the solution code did not solve the problem.

Azlan Shah A. · 대략 1개월 전에 리뷰됨

The validation are so bad

Kevin Daniel P. · 대략 1개월 전에 리뷰됨

VICENTE . T. · 대략 1개월 전에 리뷰됨

Smitha P. · 대략 1개월 전에 리뷰됨

Shailesh K. · 대략 1개월 전에 리뷰됨

Smitha P. · 대략 1개월 전에 리뷰됨

Rishi S. · 대략 1개월 전에 리뷰됨

Andy M. · 대략 1개월 전에 리뷰됨

Even though I finished my tasks, when I clicked to check my progress, it did not load. So I missed some points

César B. · 대략 1개월 전에 리뷰됨