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

Kranthi Kumar B. · Vor 12 Monate überprüft

Kranthi Kumar B. · Vor 12 Monate überprüft

failed builder all teh times

Matias R. · Vor 12 Monate überprüft

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

Markus D. · Vor 12 Monate überprüft

ADARSHA N. · Vor 12 Monate überprüft

lab does not work

Jason M. · Vor 12 Monate überprüft

third class

soheel M. · Vor 12 Monate überprüft

soheel M. · Vor 12 Monate überprüft

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. · Vor 12 Monate überprüft

Yaswanth Kumar K. · Vor 12 Monate überprüft

Jason M. · Vor 12 Monate überprüft

Dang V. · Vor 12 Monate überprüft

The code in "Create a Cloud Composer environment" is outdated and returned bug.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. · Vor 12 Monate überprüft

Krzysztof S. · Vor 12 Monate überprüft

Jose Luis M. · Vor 12 Monate überprüft

David Lamin G. · Vor 12 Monate überprüft

Sadibou S. · Vor 12 Monate überprüft

Jose Luis M. · Vor 12 Monate überprüft

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. · Vor 12 Monate überprüft

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. · Vor 12 Monate überprüft

KHAERUL L. · Vor 12 Monate überprüft

KHAERUL L. · Vor 12 Monate überprüft

composer version is not supported :(

Vladyslav T. · Vor 12 Monate überprüft

Jose A. · Vor 12 Monate überprüft

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. · Vor 12 Monate überprüft