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 больше 3 лет ago

Marek D. · Reviewed больше 3 лет ago

Tao T. · Reviewed больше 3 лет ago

Brady B. · Reviewed больше 3 лет ago

Irene K. · Reviewed больше 3 лет ago

Hanh T. · Reviewed больше 3 лет ago

Abhishek C. · Reviewed больше 3 лет ago

Edward U. · Reviewed больше 3 лет ago

Zelmar M. · Reviewed больше 3 лет ago

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

Krishna V. · Reviewed больше 3 лет ago

Jack R. · Reviewed больше 3 лет ago

Aparna K. · Reviewed больше 3 лет ago

Swaraj N. · Reviewed больше 3 лет ago

Alceu D. · Reviewed больше 3 лет ago

Giuseppe M. · Reviewed больше 3 лет 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 больше 3 лет 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 больше 3 лет 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 больше 3 лет 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 больше 3 лет ago

Eber D. · Reviewed больше 3 лет ago

Eber D. · Reviewed больше 3 лет 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 больше 3 лет 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 больше 3 лет ago

Divya N. · Reviewed больше 3 лет ago

Yves E. · Reviewed больше 3 лет ago

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