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

BASTIAN IGNACIO R. · Sprawdzono 12 dni temu

safouan e. · Sprawdzono 12 dni temu

Ruma K. · Sprawdzono 12 dni temu

/ 岩崎 淳 A. · Sprawdzono 13 dni temu

Chakka Chenna J. · Sprawdzono 13 dni temu

He avanzado hasta el ultimo punto dandome todo correcto pero resulta que el paso 5 que es el de enviar el archivo por comando lo he enviado de multiples formas, he validado el archivo en storage, he lanzado el ultimo punto a evaluar de manera correcta y no me deja aprobar el lab por este error

Nahuel G. · Sprawdzono 13 dni temu

Jefferson S. · Sprawdzono 13 dni temu

horrible, errores en la tarea 2 de la parte 2, no valida el js creado y copiado al bucket

INAKI RAUL F. · Sprawdzono 13 dni temu

SANTIAGO ADOLFO H. · Sprawdzono 14 dni temu

lab is not updated

Mridula J. · Sprawdzono 14 dni temu

CAMILA ESPERANZA M. · Sprawdzono 15 dni temu

Was not able to do the lab mainly because it kept having an error when I was trying to look into the .py file. A 403 error response.

Subre M. · Sprawdzono 15 dni temu

not satisfied. Couldn't run my pipeline because there wasn't enough resources to do it......

Samuel H. · Sprawdzono 15 dni temu

Piotr B. · Sprawdzono 15 dni temu

No puede probarlo y avanzar debido a problemas de las capacidades de la zona

Nahuel G. · Sprawdzono 15 dni temu

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-1778847543426-05150519-q6lt-harness-mnjp' creation failed: The zone 'projects/qwiklabs-gcp-02-fa8106bfad72/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

rıdvan a. · Sprawdzono 15 dni temu

Task3 failed with error: could not bring up the worker

Lingmin M. · Sprawdzono 16 dni temu

jason m. · Sprawdzono 16 dni temu

Errores con la zona horaria

CRISTOBAL ANDRE H. · Sprawdzono 16 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 16 dni temu

Jeong Ho D. · Sprawdzono 16 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 16 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 16 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 16 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 17 dni temu