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

Jeong Ho D. · Sprawdzono 5 dni temu

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. · Sprawdzono 5 dni temu

region and zone not working (US-CENTRAL1). Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers.

Beini W. · Sprawdzono 5 dni temu

Again. Another Dataflow lab another worker pool not available issue. Either remove all Dataflow labs as they are useless anyways or else make sure resources are available. Please I beg you for this

Vinay T. · Sprawdzono 5 dni temu

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. · Sprawdzono 6 dni temu

Dont work

Dieter H. · Sprawdzono 7 dni temu

Jenny B. · Sprawdzono 7 dni temu

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. · Sprawdzono 7 dni temu

IGNACIO NICOLAS P. · Sprawdzono 8 dni temu

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. · Sprawdzono 8 dni temu

dataflow resources could not be fulfilled

Alfredo V. · Sprawdzono 8 dni temu

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

Azlan Shah A. · Sprawdzono 8 dni temu

Sandeep G. · Sprawdzono 8 dni temu

bad instructions

RODRIGO BENJAMIN U. · Sprawdzono 8 dni temu

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

swanand a. · Sprawdzono 9 dni temu

Lalith A. · Sprawdzono 9 dni temu

Pankaj D. · Sprawdzono 9 dni temu

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. · Sprawdzono 10 dni temu

Miroslav D. · Sprawdzono 10 dni temu

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. · Sprawdzono 10 dni temu

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

Azlan Shah A. · Sprawdzono 11 dni temu

The validation are so bad

Kevin Daniel P. · Sprawdzono 11 dni temu

VICENTE . T. · Sprawdzono 11 dni temu

Smitha P. · Sprawdzono 11 dni temu

Shailesh K. · Sprawdzono 11 dni temu