Traitement de données sans serveur avec Dataflow : écrire un pipeline ETL à l'aide d'Apache Beam et de Dataflow (Python) avis

Vinay T. · Examiné il y a 4 mois

Jupyter resources are not loading properly..

Plamen S. · Examiné il y a 4 mois

貴文 内. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois

BENJAMIN MAXIMILIANO V. · Examiné il y a 4 mois

BASTIAN IGNACIO R. · Examiné il y a 4 mois

safouan e. · Examiné il y a 4 mois

Ruma K. · Examiné il y a 4 mois

/ 岩崎 淳 A. · Examiné il y a 4 mois

Chakka Chenna J. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois

Jefferson S. · Examiné il y a 4 mois

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

INAKI RAUL F. · Examiné il y a 4 mois

SANTIAGO ADOLFO H. · Examiné il y a 4 mois

lab is not updated

Mridula J. · Examiné il y a 4 mois

CAMILA ESPERANZA M. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois

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

Samuel H. · Examiné il y a 4 mois

Piotr B. · Examiné il y a 4 mois

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

Nahuel G. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois

Task3 failed with error: could not bring up the worker

Lingmin M. · Examiné il y a 4 mois

jason m. · Examiné il y a 4 mois

Errores con la zona horaria

CRISTOBAL ANDRE H. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois