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

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 about 1 month ago

Dont work

Dieter H. · Reviewed about 1 month ago

Jenny B. · Reviewed about 1 month ago

This training needs some advanced knowledge of Python and concepts ... I blindly followed upto the first half not even knowing what a pipeline is, or what I am achieving.

Ajit V. · Reviewed about 1 month ago

IGNACIO NICOLAS P. · Reviewed about 1 month ago

i copied the transform.js file to the bucket but clicking update progress did not work, no points were added to my score

Alfredo V. · Reviewed about 1 month ago

dataflow resources could not be fulfilled

Alfredo V. · Reviewed about 1 month ago

The DataFlow job keeps failing to complete (No worker available). Even using the solution code did not solve the problem.

Azlan Shah A. · Reviewed about 1 month ago

Sandeep G. · Reviewed about 1 month ago

bad instructions

RODRIGO BENJAMIN U. · Reviewed about 1 month ago

Lab is unable to verify transform.js file copy to cloud storage. so unable to proceed with the lab

swanand a. · Reviewed about 1 month ago

Lalith A. · Reviewed about 1 month ago

Pankaj D. · Reviewed about 1 month 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 about 1 month ago

Miroslav D. · Reviewed about 1 month ago

pure waste of time. what we are getting after spending hours on this lab, unable to allocate resources. so please make sure that resources are available for these labs otherwise dont start lab at all. 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-1778347219925-05091020-tp78-harness-nwgc' creation failed: The zone 'projects/qwiklabs-gcp-03-5372f69668b7/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

swanand a. · Reviewed about 1 month ago

The DataFlow job keeps failing to complete. Even using the solution code did not solve the problem.

Azlan Shah A. · Reviewed about 1 month ago

The validation are so bad

Kevin Daniel P. · Reviewed about 1 month ago

VICENTE . T. · Reviewed about 1 month ago

Smitha P. · Reviewed about 1 month ago

Shailesh K. · Reviewed about 1 month ago

Smitha P. · Reviewed about 1 month ago

Rishi S. · Reviewed about 1 month ago

Andy M. · Reviewed about 1 month ago

Even though I finished my tasks, when I clicked to check my progress, it did not load. So I missed some points

César B. · Reviewed about 1 month ago