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

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. · Sprawdzono ponad 7 lat temu

Binh D. · Sprawdzono ponad 7 lat temu

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

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