ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

Htut K. · Reviewed over 1 year ago

Ahmed A. · Reviewed over 1 year ago

ARTI M. · Reviewed over 1 year ago

Gowtham K. · Reviewed over 1 year ago

Giovanni K. · Reviewed over 1 year ago

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. · Reviewed over 1 year ago

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. · Reviewed over 1 year ago

Juan Pablo I. · Reviewed over 1 year ago

Vikyath P. · Reviewed over 1 year ago

LUIZ T. · Reviewed over 1 year ago

Oscar H. · Reviewed over 1 year ago

Kalaiselvi S. · Reviewed over 1 year ago

Niranjan U. · Reviewed over 1 year ago

Amirlan S. · Reviewed over 1 year ago

Jaime S. · Reviewed over 1 year ago

Amirlan S. · Reviewed over 1 year ago

Franklin C. · Reviewed over 1 year ago

Marek Z. · Reviewed over 1 year ago

Izzaldi I. · Reviewed over 1 year ago

Diego G. · Reviewed over 1 year ago

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. · Reviewed over 1 year ago

Rajesh A. · Reviewed over 1 year ago

Andres C. · Reviewed over 1 year ago

chaitra k. · Reviewed over 1 year ago

Atherullah K. · Reviewed over 1 year ago