ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews
80300 reviews
I had to add the following permissions on compute engine service account for this to work: Dataflow Admin Cloud Dataflow Service Agent Editor
Sarma P. · Reviewed מעל 5 שנים ago
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yasunori s. · Reviewed מעל 5 שנים ago
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Madhi v. · Reviewed מעל 5 שנים ago
Piyush K. · Reviewed מעל 5 שנים ago
CLI not connected
gopi g. · Reviewed מעל 5 שנים ago
Madhi v. · Reviewed מעל 5 שנים ago
NA
Vishal K. · Reviewed מעל 5 שנים ago
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Pawan K. · Reviewed מעל 5 שנים ago
Chaitanya M. · Reviewed מעל 5 שנים ago
kavya p. · Reviewed מעל 5 שנים ago
wasn't able to finnish because i received this error File "/usr/local/lib/python3.7/site-packages/dataflow_worker/batchworker.py", line 649, in do_work work_executor.execute()
Sergio B. · Reviewed מעל 5 שנים ago
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Adisak S. · Reviewed מעל 5 שנים ago
Tetsuki T. · Reviewed מעל 5 שנים ago
Kiril Y. · Reviewed מעל 5 שנים ago
Awesome
Ramkrishna A. · Reviewed מעל 5 שנים ago
This is the worst lab I have taken so far here on qwiklabs, and to think the topic was supposed to be the most familiar to me. After going through the lab I actually feel more lost, even though I've been doing ETL the last 15 years (though not on cloud until ~2 years ago). Even though I also use Cloud Shell/gsutil/etc whenever possible when working, I wish in learning mediums such as this, the lab used more visual approach. The lab just says "here's code, understand on your own then run it. You have one hour." Even creating a bucket or a dataset would have been much simpler and informative if we did it via UI, instead of being given the complete code for us to just copy paste. TL;DR more UI steps, less Cloud Shell Finally, even if I preferred the codes over the UI, the 1-hour time limit is a bit tight, especially since Dataflow takes its time starting up.
Jan A. · Reviewed מעל 5 שנים ago
very good
Frederick A. · Reviewed מעל 5 שנים ago
Axel Z. · Reviewed מעל 5 שנים ago
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