Serverless Data Processing with Dataflow - Batch Analytics Pipelines with Dataflow (Python) Reviews
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Serverless Data Processing with Dataflow - Batch Analytics Pipelines with Dataflow (Python) Reviews

6320 reviews

Berkay B. · Reviewed over 3 years ago

Marek D. · Reviewed over 3 years ago

Tao T. · Reviewed over 3 years ago

Brady B. · Reviewed over 3 years ago

Irene K. · Reviewed over 3 years ago

Hanh T. · Reviewed over 3 years ago

Abhishek C. · Reviewed over 3 years ago

Edward U. · Reviewed over 3 years ago

Zelmar M. · Reviewed over 3 years ago

The Lab has been updated to use the IDE to overcome the errors. Thanks for the same.

Krishna V. · Reviewed over 3 years ago

Jack R. · Reviewed over 3 years ago

Aparna K. · Reviewed over 3 years ago

Swaraj N. · Reviewed over 3 years ago

Alceu D. · Reviewed over 3 years ago

Giuseppe M. · Reviewed over 3 years ago

1. to pass permission issue I runned the command from cloud shell 2. after task4 "my progress" still not green , despite the fact that everything ended well

Michael G. · Reviewed over 3 years ago

no funciona, sigo los pasos y no le asigna el rol de daflow worker. Asigne el rol de forma manual, y ya lo tiene, se ejecuta el script que ejecuta los archivos .sh para crear el bucket y no funciona Se siguen los pasos y esta mandando muchos errores se creo la tabla usser trafic en bigquery y manda mensaje de que no está terminado ese paso, y no indica que falta. Se siguieron los pasos, de forma manual se asigno el rol de dataflow worker porque siguiendo los pasos manda error. Pésimos laboratorios, por mi le daría cero estrellas, solo que no lo permite la herramienta

Leoncio O. · Reviewed over 3 years ago

no funciona, sigo los pasos y no le asigna el rol de daflow worker. Asigne el rol de forma manual, y ya lo tiene, se ejecuta el script que ejecuta los archivos .sh para crear el bucket y no funciona Se siguen los pasos y esta mandando muchos errores

Leoncio O. · Reviewed over 3 years ago

The lab is a bit unclear about which commands should be run in the IDE versus Cloud shell. In particular, in step 4 of Part 1, Task 1, we are asked to run the command below: gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:${serviceAccount}" --role="roles/dataflow.worker" However this fails if run in the IDE since the service account doesn't have the necessary permissions. I was able to work around this by running the command in Cloud Shell instead, however it would be could to update the lab text to make this requirement clear.

Robert L. · Reviewed over 3 years ago

Eber D. · Reviewed over 3 years ago

Eber D. · Reviewed over 3 years ago

Wasn't able to complete Task 3 as my Python class didn't match the JSON schema. Errors from Dataflow were hard to understand. Not really an issue with the lab, just a general Dataflow problem.

Robert L. · Reviewed over 3 years ago

no funciona, sigo los pasos y no le asigna el rol de daflow worker. Asigne el rol de forma manual, y ya lo tiene, se ejecuta el script que ejecuta los archivos .sh para crear el bucket y no funciona

Leoncio O. · Reviewed over 3 years ago

Divya N. · Reviewed over 3 years ago

Yves E. · Reviewed over 3 years ago

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