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

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Evan G. · Reviewed over 7 years ago

Evan G. · Reviewed over 7 years ago

not working

Sezer K. · Reviewed over 7 years ago

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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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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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