关于“使用 Dataflow 和 BigQuery (Python) 在 Google Cloud 上进行 ETL 处理”的评价

I didn't finish because of a distraction from my manager, but I'll do it again.

Michael O. · 已于 over 6 years前审核

Varun S. · 已于 over 6 years前审核

Nicolas P. · 已于 over 6 years前审核

Dr Isaac A. · 已于 over 6 years前审核

Sanjeev G. · 已于 over 6 years前审核

Ben B. · 已于 over 6 years前审核

Daniel T. · 已于 over 6 years前审核

Sajay J. · 已于 over 6 years前审核

Parth A. · 已于 over 6 years前审核

ivan h. · 已于 over 6 years前审核

Dara F. · 已于 over 6 years前审核

Los tiempos en dataflow son muy lentos se deberia extender un poco mas el tiempo del Lab .....

Alexander antonio B. · 已于 over 6 years前审核

Kavya K. · 已于 over 6 years前审核

MUHAMMAD H. · 已于 over 6 years前审核

MUHAMMAD H. · 已于 over 6 years前审核

MUHAMMAD H. · 已于 over 6 years前审核

Ashok K. · 已于 over 6 years前审核

Dmitry S. · 已于 over 6 years前审核

Mounir Y. · 已于 over 6 years前审核

Snehal T. · 已于 over 6 years前审核

Mounir Y. · 已于 over 6 years前审核

Maria C. · 已于 over 6 years前审核

I have noticed two issues in this lab: Step 4 - Data Enrichment : edit Line 82 (not 81) Step 5 - Data lake to Mart : running the Apache Beam Pipeline gives the following warning: Resized worker pool to 2, though goal was 4. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2020-02-05T12:37:45.118Z: JOB_MESSAGE_WARNING: Autoscaling: Unable to reach resize target in zone us-central1-c. QUOTA_EXCEEDED: Quota 'SSD_TOTAL_GB' exceeded. Limit: 500.0 in region us-central1.

Emanuele S. · 已于 over 6 years前审核

Jobs took way too long

Matthew C. · 已于 over 6 years前审核

Najah N. · 已于 over 6 years前审核