Processamento de dados sem servidor com o Dataflow: como criar um Pipeline ETL usando Apache Beam e Cloud Dataflow (Python) avaliações

Processamento de dados sem servidor com o Dataflow: como criar um Pipeline ETL usando Apache Beam e Cloud Dataflow (Python) avaliações

7320 avaliações

mohammaderfan k. · Revisado há about 1 year

Amardeep S. · Revisado há about 1 year

Brian F. · Revisado há about 1 year

Las instrucciones no son claras

Rene N. · Revisado há about 1 year

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Jesús Enrique G. · Revisado há about 1 year

Suphakit S. · Revisado há about 1 year

good

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Sachin S. · Revisado há about 1 year

Some comments. The first step asks you to sign in into quicklabs from an incognito window, without giving you an url nor credentials. Signing into quiklabs should be a step after we have the credentials. On the python side, the `table_schema = #...` line that produces a syntax error. The error luckily is trivial to detect and fix. When running the job in dataflow all my jobs were failing with an error saying that there were no resources available in the region/zone i was working on. I had to change to us-east1 to get the job working. When running the job from the template, the job by default starts in streaming mode and therefore doesn't end. Since it didn't end it never got into Success state and therefore I couldn't click the check.

Eugenio R. · Revisado há about 1 year

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PRADEEPKUMAR A. · Revisado há about 1 year

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