ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews
80622 reviews
tamura m. · Reviewed over 7 years ago
hnh
Fredy G. · Reviewed over 7 years ago
Joseph K. · Reviewed over 7 years ago
Evan G. · Reviewed over 7 years ago
Evan G. · Reviewed over 7 years ago
not working
Sezer K. · Reviewed over 7 years ago
András T. · Reviewed over 7 years ago
ulisses b. · Reviewed over 7 years ago
not sufficient time to finish. was in final leg and was cut off.
Shankar K. · Reviewed over 7 years ago
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Mohamadou c. · Reviewed over 7 years ago
Domenico B. · Reviewed over 7 years ago
joselramirezc .. · Reviewed over 7 years ago
Provide a link to the github. https://github.com/GoogleCloudPlatform/professional-services/tree/master/examples/dataflow-python-examples It contains a lot more details and personally make the code easier to read than through the gcp editor. The jobs take a long time to reasonably long time to run. You pretty much have to copy and paste it to start the run and then look through the code to see what it's actually doing. I would suggest removing either the transformation or the enrichment portion or combining them. They are pretty similar. I suppose the goal is not really to explain dataflow (apache beam) but this would help. Copying and pasting code into the console doesn't really teach much. There are a lot of details that seem to be lost like the different runners and the staging area in the buckets.
Brian W. · Reviewed over 7 years ago
Binh D. · Reviewed over 7 years ago
The time limit for this lab is very less, as running smallest pipeline takes min of 6 mins. Please increase the time for this lab
Darshitkumar S. · Reviewed over 7 years ago
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Juliette M. · Reviewed over 7 years ago
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