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

Jeong Ho D. · Recensione inserita 5 giorni fa

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. · Recensione inserita 5 giorni fa

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. · Recensione inserita 5 giorni fa

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. · Recensione inserita 5 giorni fa

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. · Recensione inserita 6 giorni fa

Dont work

Dieter H. · Recensione inserita 7 giorni fa

Jenny B. · Recensione inserita 7 giorni fa

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. · Recensione inserita 7 giorni fa

IGNACIO NICOLAS P. · Recensione inserita 8 giorni fa

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. · Recensione inserita 8 giorni fa

dataflow resources could not be fulfilled

Alfredo V. · Recensione inserita 8 giorni fa

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

Azlan Shah A. · Recensione inserita 8 giorni fa

Sandeep G. · Recensione inserita 8 giorni fa

bad instructions

RODRIGO BENJAMIN U. · Recensione inserita 8 giorni fa

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

swanand a. · Recensione inserita 9 giorni fa

Lalith A. · Recensione inserita 9 giorni fa

Pankaj D. · Recensione inserita 9 giorni fa

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. · Recensione inserita 10 giorni fa

Miroslav D. · Recensione inserita 10 giorni fa

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. · Recensione inserita 10 giorni fa

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

Azlan Shah A. · Recensione inserita 11 giorni fa

The validation are so bad

Kevin Daniel P. · Recensione inserita 11 giorni fa

VICENTE . T. · Recensione inserita 11 giorni fa

Smitha P. · Recensione inserita 11 giorni fa

Shailesh K. · Recensione inserita 11 giorni fa