Validate Data Quality for a Batch Data Pipeline using Serverless for Apache Spark Ulasan

The lab job failed with the following error: Multiple Errors: - Failed to create batch autoscaling policy - Not authorized to requested resource. I dont know if it was a timing issue or something but according to Google Gemini I needed to do the following and then reexecuting the job fixed it for me. # Assign Dataproc Worker role gcloud projects add-iam-policy-binding $GOOGLE_CLOUD_PROJECT \ --member="serviceAccount:583522980681-compute@developer.gserviceaccount.com" \ --role="roles/dataproc.worker" # Assign Dataproc Editor role (often needed for Batch management) gcloud projects add-iam-policy-binding $GOOGLE_CLOUD_PROJECT \ --member="serviceAccount:583522980681-compute@developer.gserviceaccount.com" \ --role="roles/dataproc.editor"

Sayed Fawad Ali S. · Diulas 4 hari lalu

Gabriela C. · Diulas 4 hari lalu

Witold K. · Diulas 4 hari lalu

Subhas D. · Diulas 4 hari lalu

Renzo Isaias H. · Diulas 4 hari lalu

Isaac Rodrigues d. · Diulas 4 hari lalu

Akash V. · Diulas 5 hari lalu

Ahmed E. · Diulas 5 hari lalu

prasad p. · Diulas 5 hari lalu

Michał M. · Diulas 6 hari lalu

Ganesh G. · Diulas 6 hari lalu

Stephen Y. · Diulas 7 hari lalu

Leonardo M. · Diulas 7 hari lalu

Francisco M. · Diulas 7 hari lalu

very poor support

Priya P. · Diulas 7 hari lalu

Erdem T. · Diulas 7 hari lalu

Mayank J. · Diulas 7 hari lalu

Sriram N. · Diulas 7 hari lalu

Sergi F. · Diulas 7 hari lalu

Laurent D. · Diulas 8 hari lalu

Laurent D. · Diulas 8 hari lalu

AHMED AMIN B. · Diulas 8 hari lalu

Ghalia A. · Diulas 8 hari lalu

Debojyoti H. · Diulas 8 hari lalu

Akshay W. · Diulas 8 hari lalu