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

BASTIAN IGNACIO R. · Reviewed 12 gün ago

safouan e. · Reviewed 12 gün ago

Ruma K. · Reviewed 12 gün ago

/ 岩崎淳 A. · Reviewed 13 gün ago

Chakka Chenna J. · Reviewed 13 gün ago

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. · Reviewed 13 gün ago

Jefferson S. · Reviewed 13 gün ago

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

INAKI RAUL F. · Reviewed 13 gün ago

SANTIAGO ADOLFO H. · Reviewed 14 gün ago

lab is not updated

Mridula J. · Reviewed 14 gün ago

CAMILA ESPERANZA M. · Reviewed 15 gün ago

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. · Reviewed 15 gün ago

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

Samuel H. · Reviewed 15 gün ago

Piotr B. · Reviewed 15 gün ago

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

Nahuel G. · Reviewed 15 gün ago

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. · Reviewed 15 gün ago

Task3 failed with error: could not bring up the worker

Lingmin M. · Reviewed 16 gün ago

jason m. · Reviewed 16 gün ago

Errores con la zona horaria

CRISTOBAL ANDRE H. · Reviewed 16 gün ago

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. · Reviewed 16 gün ago

Jeong Ho D. · Reviewed 16 gün ago

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. · Reviewed 16 gün ago

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. · Reviewed 16 gün ago

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. · Reviewed 16 gün ago

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. · Reviewed 17 gün ago