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

Vinay T. · Reviewed 30 دقيقة ago

Jupyter resources are not loading properly..

Plamen S. · Reviewed حوالي 7 ساعات ago

貴文 内. · Reviewed حوالي 8 ساعات 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 حوالي 8 ساعات ago

BENJAMIN MAXIMILIANO V. · Reviewed حوالي 15 ساعة ago

BASTIAN IGNACIO R. · Reviewed حوالي 17 ساعة ago

safouan e. · Reviewed حوالي 20 ساعة ago

Ruma K. · Reviewed يوم واحد ago

/ 岩崎 淳 A. · Reviewed يوم واحد ago

Chakka Chenna J. · Reviewed يوم واحد 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 يوم واحد ago

Jefferson S. · Reviewed يوم واحد ago

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

INAKI RAUL F. · Reviewed يومان ago

SANTIAGO ADOLFO H. · Reviewed 3 أيام ago

lab is not updated

Mridula J. · Reviewed 3 أيام ago

CAMILA ESPERANZA M. · Reviewed 3 أيام 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 أيام ago

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

Samuel H. · Reviewed 4 أيام ago

Piotr B. · Reviewed 4 أيام ago

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

Nahuel G. · Reviewed 4 أيام 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 أيام ago

Task3 failed with error: could not bring up the worker

Lingmin M. · Reviewed 5 أيام ago

jason m. · Reviewed 5 أيام ago

Errores con la zona horaria

CRISTOBAL ANDRE H. · Reviewed 5 أيام 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 أيام ago