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

Rajesh A. · 已于 about 1 year前审核

SUDHEER B. · 已于 about 1 year前审核

Rafael dos Santos Souza R. · 已于 about 1 year前审核

Htut K. · 已于 about 1 year前审核

Ahmed A. · 已于 about 1 year前审核

ARTI M. · 已于 about 1 year前审核

Gowtham K. · 已于 about 1 year前审核

Giovanni K. · 已于 about 1 year前审核

Interesante y eso que soy novata en el asunto, el proceso de las 4 ultimas tareas donde se abría el editor, y luego desde la consola cloud shell se pegaba cierto código, para luego de 4-5 minutos ver en dataflow, y cuando aparecía exitoso (completo) verificar en bigquery para identificar que apareciera..., ayudó a hacer mas fluido el proceso

MARIALEJANDRA . M. · 已于 about 1 year前审核

Please give more guidance on the "why" behind why we are doing this steps in regards to ETL. For someone that might not have all the background knowledge yet, this would be super helpful. More context would be awesome.

Bekah M. · 已于 about 1 year前审核

Juan Pablo I. · 已于 about 1 year前审核

Vikyath P. · 已于 about 1 year前审核

LUIZ T. · 已于 about 1 year前审核

Oscar H. · 已于 about 1 year前审核

Kalaiselvi S. · 已于 about 1 year前审核

Niranjan U. · 已于 about 1 year前审核

Amirlan S. · 已于 about 1 year前审核

Jaime S. · 已于 about 1 year前审核

Amirlan S. · 已于 about 1 year前审核

Franklin C. · 已于 about 1 year前审核

Marek Z. · 已于 about 1 year前审核

Izzaldi I. · 已于 about 1 year前审核

Diego G. · 已于 about 1 year前审核

Let people know at the beginning the automated steps at the end require at least 15-20 minutes to wait just for automated processes - I spent too much time reading the code at the beginning/researching (as the instructions suggest) that I had to rush through the final 5 tasks. The lab should be at least an hour and a half because of that.

Jared S. · 已于 about 1 year前审核

Rajesh A. · 已于 about 1 year前审核