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

11721 ulasan

BASTIAN IGNACIO R. · Diulas 12 hari lalu

safouan e. · Diulas 12 hari lalu

Ruma K. · Diulas 12 hari lalu

/ 岩崎 淳 A. · Diulas 13 hari lalu

Chakka Chenna J. · Diulas 13 hari 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 13 hari lalu

Jefferson S. · Diulas 13 hari lalu

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

INAKI RAUL F. · Diulas 13 hari lalu

SANTIAGO ADOLFO H. · Diulas 14 hari lalu

lab is not updated

Mridula J. · Diulas 14 hari lalu

CAMILA ESPERANZA M. · Diulas 15 hari 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 15 hari lalu

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

Samuel H. · Diulas 15 hari lalu

Piotr B. · Diulas 15 hari lalu

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

Nahuel G. · Diulas 15 hari 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 15 hari lalu

Task3 failed with error: could not bring up the worker

Lingmin M. · Diulas 16 hari lalu

jason m. · Diulas 16 hari lalu

Errores con la zona horaria

CRISTOBAL ANDRE H. · Diulas 16 hari 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 16 hari lalu

Jeong Ho D. · Diulas 16 hari lalu

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. · Diulas 16 hari lalu

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. · Diulas 16 hari lalu

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. · Diulas 16 hari 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 17 hari lalu

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