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

Vinay T. · Reviewed 30 דקות ago

Jupyter resources are not loading properly..

Plamen S. · Reviewed בערך 7 שעות ago

貴文 内. · Reviewed בערך 8 שעות ago

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. · Reviewed בערך 8 שעות ago

BENJAMIN MAXIMILIANO V. · Reviewed בערך 15 שעות ago

BASTIAN IGNACIO R. · Reviewed בערך 17 שעות ago

safouan e. · Reviewed בערך 20 שעות ago

Ruma K. · Reviewed יום אחד ago

/ 岩崎 淳 A. · Reviewed יום אחד ago

Chakka Chenna J. · Reviewed יום אחד 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 יום אחד ago

Jefferson S. · Reviewed יום אחד ago

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

INAKI RAUL F. · Reviewed 2 ימים ago

SANTIAGO ADOLFO H. · Reviewed 3 ימים ago

lab is not updated

Mridula J. · Reviewed 3 ימים ago

CAMILA ESPERANZA M. · Reviewed 3 ימים 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 4 ימים ago

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

Samuel H. · Reviewed 4 ימים ago

Piotr B. · Reviewed 4 ימים ago

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

Nahuel G. · Reviewed 4 ימים 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 4 ימים ago

Task3 failed with error: could not bring up the worker

Lingmin M. · Reviewed 5 ימים ago

jason m. · Reviewed 5 ימים ago

Errores con la zona horaria

CRISTOBAL ANDRE H. · Reviewed 5 ימים 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 5 ימים ago