Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews

Michael G. · Reviewed over 4 years ago

Jitendra G. · Reviewed over 4 years ago

Michael G. · Reviewed over 4 years ago

Giuseppe M. · Reviewed over 4 years ago

Very hard lab. Even if one step is not clear a student can get stuck easily. The last part, create job from template needs for instructions especially cloud storage input pat, temporary big query directory and temporary location. Probably could not have done this without the video.

Yasser K. · Reviewed over 4 years ago

Harald T. · Reviewed over 4 years ago

Olga P. · Reviewed over 4 years ago

Yasser K. · Reviewed over 4 years ago

No me detectó un paso que si realicé.

Eber D. · Reviewed over 4 years ago

No me detectó un paso que si realicé.

Eber D. · Reviewed over 4 years ago

Balaram D. · Reviewed over 4 years ago

Harald T. · Reviewed over 4 years ago

Richard W. · Reviewed over 4 years ago

Jean-Edouard R. · Reviewed over 4 years ago

Jean-Edouard R. · Reviewed over 4 years ago

H F. · Reviewed over 4 years ago

Robert L. · Reviewed over 4 years ago

Miguel A. · Reviewed over 4 years ago

Mihir D. · Reviewed over 4 years ago

the python version is 3.9.2 in the environment, but dataflow only support 3.8

Yi D. · Reviewed over 4 years ago

Python on Cloud Shell didn't match capabilities of Apache Beam. I had to alter code to make it work.

Dana S. · Reviewed over 4 years ago

python virtual env was not working

Maria C. · Reviewed over 4 years ago

Catarina D. · Reviewed over 4 years ago