关于“在 Google Cloud 上使用 Dataflow 和 BigQuery 處理 ETL 作業 (Python)”的评价

Rajesh A. · 评论about 1 year之前

SUDHEER B. · 评论about 1 year之前

Rafael dos Santos Souza R. · 评论about 1 year之前

Htut K. · 评论about 1 year之前

Ahmed A. · 评论about 1 year之前

ARTI M. · 评论about 1 year之前

Gowtham K. · 评论about 1 year之前

Giovanni K. · 评论about 1 year之前

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. · 评论about 1 year之前

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. · 评论about 1 year之前

Juan Pablo I. · 评论about 1 year之前

Vikyath P. · 评论about 1 year之前

LUIZ T. · 评论about 1 year之前

Oscar H. · 评论about 1 year之前

Kalaiselvi S. · 评论about 1 year之前

Niranjan U. · 评论about 1 year之前

Amirlan S. · 评论about 1 year之前

Jaime S. · 评论about 1 year之前

Amirlan S. · 评论about 1 year之前

Franklin C. · 评论about 1 year之前

Marek Z. · 评论about 1 year之前

Izzaldi I. · 评论about 1 year之前

Diego G. · 评论about 1 year之前

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. · 评论about 1 year之前

Rajesh A. · 评论about 1 year之前