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

jan v. · 已于 over 4 years前审核

F. Javier R. · 已于 over 4 years前审核

Van Khai P. · 已于 over 4 years前审核

Mariusz K. · 已于 over 4 years前审核

Liouani h. · 已于 over 4 years前审核

Akhil Krishnan R. · 已于 over 4 years前审核

very powerfull !

RUIZ O. · 已于 over 4 years前审核

Ashwin G. · 已于 over 4 years前审核

good begginer article to understand data flow

Krishna Kumar D. · 已于 over 4 years前审核

Pls check this query. It needed to pass an output parameter or we need to update the data_ingestion.py to provide an output. python dataflow_python_examples/data_transformation.py --project=$PROJECT --region=us-central1 --runner=DataflowRunner --staging_location=gs://$PROJECT/test --temp_location gs://$PROJECT/test --input gs://$PROJECT/data_files/head_usa_names.csv --save_main_session

Vaibhav D. · 已于 over 4 years前审核

Eilleen B. · 已于 over 4 years前审核

Pipeline's are taking extra time concluding this lab to be of more than 1 hour

Muhammad Talha K. · 已于 over 4 years前审核

Abdallah H. · 已于 over 4 years前审核

Janjarla S. · 已于 over 4 years前审核

Rajender B. · 已于 over 4 years前审核

Atit W. · 已于 over 4 years前审核

Nick H. · 已于 over 4 years前审核

The lab itself is very good, but more time is needed due to the time taken by Dataflow to complete the jobs

Davi A. · 已于 over 4 years前审核

GCPtraining 0. · 已于 over 4 years前审核

GCPtraining 0. · 已于 over 4 years前审核

Jobs took way too long

GCPTraining 0. · 已于 over 4 years前审核

GCPtraining 0. · 已于 over 4 years前审核

GCPtraining 0. · 已于 over 4 years前审核

GCPtraining 0. · 已于 over 4 years前审核