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

11518 recensioni

Geetanjali K. · Recensione inserita circa 6 ore fa

Geetanjali K. · Recensione inserita circa 6 ore fa

Ferdie O. · Recensione inserita circa 14 ore fa

Martin G. · Recensione inserita circa 23 ore fa

Lenin S. · Recensione inserita 1 giorno fa

Luis Antonio C. · Recensione inserita 2 giorni fa

even with solution copied, couldn't run pipeline without errors.

Ferdie O. · Recensione inserita 2 giorni fa

No resources to run in the specified region, would like to have trouble shooting on this.

Grant S. · Recensione inserita 3 giorni fa

Cavana E. · Recensione inserita 3 giorni fa

Cavana E. · Recensione inserita 3 giorni fa

needed extra time to debug around worker issues etc

Kezhen C. · Recensione inserita 3 giorni fa

I was unable to run my pipeline due to SSL certificate errors. What is the point of spending all this time on training when it won't even run? This is poorly designed to run into such issues without any way to resolve them. The cert issue turned out to be related to gcloud auth login, and there was an additional issue with the DataFlow resources, and we had to change some configs. These troubleshooting tips should be included with the lab.

Charles T. · Recensione inserita 3 giorni fa

Every time resources are not availabe at the given region.

Shubham R. · Recensione inserita 3 giorni fa

Sai K. · Recensione inserita 3 giorni fa

Marcus H. · Recensione inserita 3 giorni fa

Good...

Ravikumar M. · Recensione inserita 3 giorni fa

Like other DataFlow Labs, this lab could not get completed because of Compute Engine stockout/quota issue. I believe its lab resources issue because I tried 3 different labs with 3 different regions (us-west1, us-east1, us-central1) but the DF jobs failed in all.

Sayed Fawad Ali S. · Recensione inserita 4 giorni fa

Part2 failed without error message

Lingmin M. · Recensione inserita 4 giorni fa

zero stars/. First the lab doesnt run based on instructions. Even when I make my own fixes and run everythign on the lab successfully, the progress doesnt' capture on the progress log. I should show as 100% completed but it doesnt. Keeps saying you havent completed this task when I can actually see all my files and BQ table that I created

Jyoti V. · Recensione inserita 4 giorni fa

Good

Ravikumar M. · Recensione inserita 4 giorni fa

The environment seems to be misconfigured. I got a lot of these trying to run the pipeline: WARNING:urllib3.connectionpool:Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1017)'))': /computeMetadata/v1/instance/service-accounts/default/?recursive=true Unable to progress

Martin H. · Recensione inserita 4 giorni fa

Robert A. · Recensione inserita 4 giorni fa

Leela Bhargavi B. · Recensione inserita 4 giorni fa

Pipeline ran with DirectRunner, but the check my progress did not detect the completed pipeline. Dataflow runner had 400 HTTP error

Brian H. · Recensione inserita 5 giorni fa

Paige T. · Recensione inserita 5 giorni fa

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