Serverless Data Processing with Dataflow - CI/CD with Dataflow Reviews

Kranthi Kumar B. · Reviewed 12 месяцев ago

Kranthi Kumar B. · Reviewed 12 месяцев ago

failed builder all teh times

Matias R. · Reviewed 12 месяцев ago

Needs to be fixed, composer version used is no longer supported

Markus D. · Reviewed 12 месяцев ago

ADARSHA N. · Reviewed 12 месяцев ago

lab does not work

Jason M. · Reviewed 12 месяцев ago

third class

soheel M. · Reviewed 12 месяцев ago

soheel M. · Reviewed 12 месяцев ago

The gcloud composer environments create fails as composer-1.20.8-airflow-1.10.15 is not supported. I tried latest version but got a warning on violating google account policy

Sunil R. · Reviewed 12 месяцев ago

Yaswanth Kumar K. · Reviewed 12 месяцев ago

Jason M. · Reviewed 12 месяцев ago

Dang V. · Reviewed 12 месяцев ago

The code in "Create a Cloud Composer environment" is outdated and returned bug. And I cannot complete the lab due to this.

HOR KEI W. · Reviewed 12 месяцев ago

Krzysztof S. · Reviewed 12 месяцев ago

Jose Luis M. · Reviewed 12 месяцев ago

David Lamin G. · Reviewed 12 месяцев ago

Sadibou S. · Reviewed 12 месяцев ago

Jose Luis M. · Reviewed 12 месяцев ago

Invalid image version: 'composer-1.20.8-airflow-1.10.15' Test build not working, step 9 failed Finished Step #9 - "wait-for-dag-deployed-on-composer" ERROR ERROR: build step 9 "gcr.io/cloud-builders/gcloud" failed: step exited with non-zero status: 1

Volodymyr R. · Reviewed 12 месяцев ago

Cloud Composer 1 in post-maintenance : Lab cannot be done : "Cloud Composer 1 is in the post-maintenance mode. Google does not release any further updates to Cloud Composer 1, including new versions of Airflow, bugfixes, and security updates. We recommend planning migration to Cloud Composer 2."

Julien B. · Reviewed 12 месяцев ago

KHAERUL L. · Reviewed 12 месяцев ago

KHAERUL L. · Reviewed 12 месяцев ago

composer version is not supported :(

Vladyslav T. · Reviewed 12 месяцев ago

Jose A. · Reviewed 12 месяцев ago

this is the worst lab tutorial in the Data Engineer learning path. the sample commands mentioned are obsolote. the image version identified in the command is causing error. when the image version is replaced with a newer one, which is offered as a solution alternative in the error message, the DAG is never building and failing. In addition, Google must revisit its decision about using AirFlow. I rated as one star, since I couldnt make it zero.

Utku G. · Reviewed 12 месяцев ago