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

Jeong Ho D. · Sprawdzono 4 miesiące 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 4 miesiące 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 4 miesiące 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 4 miesiące 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 4 miesiące temu

Dont work

Dieter H. · Sprawdzono 4 miesiące temu

Jenny B. · Sprawdzono 4 miesiące 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 4 miesiące temu

IGNACIO NICOLAS P. · Sprawdzono 4 miesiące 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 4 miesiące temu

dataflow resources could not be fulfilled

Alfredo V. · Sprawdzono 4 miesiące 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 4 miesiące temu

Sandeep G. · Sprawdzono 4 miesiące temu

bad instructions

RODRIGO BENJAMIN U. · Sprawdzono 4 miesiące temu

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

swanand a. · Sprawdzono 4 miesiące temu

Lalith A. · Sprawdzono 4 miesiące temu

Pankaj D. · Sprawdzono 4 miesiące 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 4 miesiące temu

Miroslav D. · Sprawdzono 4 miesiące 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 4 miesiące temu

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

Azlan Shah A. · Sprawdzono 5 miesięcy temu

The validation are so bad

Kevin Daniel P. · Sprawdzono 5 miesięcy temu

VICENTE . T. · Sprawdzono 5 miesięcy temu

Smitha P. · Sprawdzono 5 miesięcy temu

Shailesh K. · Sprawdzono 5 miesięcy temu