Processamento de dados sem servidor com o Dataflow: como criar um Pipeline ETL usando Apache Beam e Dataflow (Python) avaliações

Vinay T. · Revisado há 4 months

Jupyter resources are not loading properly..

Plamen S. · Revisado há 4 months

貴文 内. · Revisado há 4 months

Despite, copying the js file to cloud storage and completing the task . It is marked as uncompleted. https://storage.cloud.google.com/qwiklabs-gcp-02-ce0549dd6ec0/transform.js?authuser=0

Sai Naga Pavan Gandhi T. · Revisado há 4 months

BENJAMIN MAXIMILIANO V. · Revisado há 4 months

BASTIAN IGNACIO R. · Revisado há 4 months

safouan e. · Revisado há 4 months

Ruma K. · Revisado há 4 months

/ 岩崎 淳 A. · Revisado há 4 months

Chakka Chenna J. · Revisado há 4 months

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. · Revisado há 4 months

Jefferson S. · Revisado há 4 months

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

INAKI RAUL F. · Revisado há 4 months

SANTIAGO ADOLFO H. · Revisado há 4 months

lab is not updated

Mridula J. · Revisado há 4 months

CAMILA ESPERANZA M. · Revisado há 4 months

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. · Revisado há 4 months

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

Samuel H. · Revisado há 4 months

Piotr B. · Revisado há 4 months

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

Nahuel G. · Revisado há 4 months

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. · Revisado há 4 months

Task3 failed with error: could not bring up the worker

Lingmin M. · Revisado há 4 months

jason m. · Revisado há 4 months

Errores con la zona horaria

CRISTOBAL ANDRE H. · Revisado há 4 months

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. · Revisado há 4 months