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

Bruno F. · 已于 over 3 years前审核

Jesus Enrique Tomas R. · 已于 over 3 years前审核

Amr H. · 已于 over 3 years前审核

Jonnel B. · 已于 over 3 years前审核

DONE - FYI: Task 6-8 nothing to do - include in next task, 10 in 11 and 12 in 13 and 15-16 in 17 Task 9, 11 and 14 and 17 only work after lunch - not in morning time Thank you

Manuel B. · 已于 over 3 years前审核

Przemysław I. · 已于 over 3 years前审核

ETL processing in GCP depends upon the number of worker node that are distributively active for a Bigquery table in HTTP session from the origin of dataset to recent compatible browser

Anshuman M. · 已于 over 3 years前审核

Shadrak B. · 已于 over 3 years前审核

akshay l. · 已于 over 3 years前审核

This lab needs a real update... it's frustrating not to be able to finish it because of the many errors

Marouane B. · 已于 over 3 years前审核

DONE - BUT !!! Task 6-8 nothing to do - include in next task, 10 in 11 and 12 in 13 and 15-16 in 17 Task 9, 11 and 14 i had to rerun for getting new table in BQ Task 17 rerun 5-6 times for getting the 4th table in BQ THANK YOU

Manuel B. · 已于 over 3 years前审核

ETL processing in GCP depends upon the number of worker node that are distributively active for a Bigquery table in HTTP session from the origin of dataset to recent compatible browser

Anshuman M. · 已于 over 3 years前审核

Alpa S. · 已于 over 3 years前审核

Jothsna Y. · 已于 over 3 years前审核

Ryan L. · 已于 over 3 years前审核

Avinash S. · 已于 over 3 years前审核

Vitor B. · 已于 over 3 years前审核

Marcos V. · 已于 over 3 years前审核

It would be nice to include an estimated time for the Dataflow jobs to complete so readers have an approximate time to wait for specific steps.

Kel M. · 已于 over 3 years前审核

Érica d. · 已于 over 3 years前审核

Márcia L. · 已于 over 3 years前审核

Nadya S. · 已于 over 3 years前审核

Stefany G. · 已于 over 3 years前审核

Nayara O. · 已于 over 3 years前审核

worked fine!

Rafael C. · 已于 over 3 years前审核