Serverless Data Processing with Dataflow - Using Dataflow for Streaming Analytics (Python) Reviews

5803 reviews

df-env) (base) jupyter@theia-20220929-200545:~/project/training-data-analyst/quests/dataflow_python/5_Streaming_Analytics/lab$ gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:${serviceAccount}" --role="roles/dataflow.worker" ERROR: (gcloud.projects.add-iam-policy-binding) User [1046021869274-compute@developer.gserviceaccount.com] does not have permission to access projects instance [qwiklabs-gcp-02-cfb672813c0f:setIamPolicy] (or it may not exist): Policy update access denied. (base) jupyter@theia-20220929-200545:~/project/training-data-analyst/quests/dataflow_python$ bash generate_streaming_events.sh Installing packages ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. google-cloud-aiplatform 1.9.0 requires google-cloud-storage<2.0.0dev,>=1.32.0, but you have google-cloud-storage 2.0.0 which is incompatible. Generating synthetic users Generating synthetic events Not using lag

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uche M. · Reviewed 3 yıldan fazla ago

The final check for generating lagless stream does not seem to work

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