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

Vinay T. · Diulas 4 bulan lalu

Jupyter resources are not loading properly..

Plamen S. · Diulas 4 bulan lalu

貴文 内. · Diulas 4 bulan lalu

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. · Diulas 4 bulan lalu

BENJAMIN MAXIMILIANO V. · Diulas 4 bulan lalu

BASTIAN IGNACIO R. · Diulas 4 bulan lalu

safouan e. · Diulas 4 bulan lalu

Ruma K. · Diulas 4 bulan lalu

/ 岩崎 淳 A. · Diulas 4 bulan lalu

Chakka Chenna J. · Diulas 4 bulan lalu

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. · Diulas 4 bulan lalu

Jefferson S. · Diulas 4 bulan lalu

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

INAKI RAUL F. · Diulas 4 bulan lalu

SANTIAGO ADOLFO H. · Diulas 4 bulan lalu

lab is not updated

Mridula J. · Diulas 4 bulan lalu

CAMILA ESPERANZA M. · Diulas 4 bulan lalu

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. · Diulas 4 bulan lalu

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

Samuel H. · Diulas 4 bulan lalu

Piotr B. · Diulas 4 bulan lalu

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

Nahuel G. · Diulas 4 bulan lalu

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. · Diulas 4 bulan lalu

Task3 failed with error: could not bring up the worker

Lingmin M. · Diulas 4 bulan lalu

jason m. · Diulas 4 bulan lalu

Errores con la zona horaria

CRISTOBAL ANDRE H. · Diulas 4 bulan lalu

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. · Diulas 4 bulan lalu