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

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

7320 reviews

mohammaderfan k. · Reviewed about 1 year ago

Amardeep S. · Reviewed about 1 year ago

Brian F. · Reviewed about 1 year ago

Las instrucciones no son claras

Rene N. · Reviewed about 1 year ago

Jesús Enrique G. · Reviewed about 1 year ago

Jesús Enrique G. · Reviewed about 1 year ago

Suphakit S. · Reviewed about 1 year ago

good

Karthik R. · Reviewed about 1 year ago

Pradeep B. · Reviewed about 1 year ago

Kumari S. · Reviewed about 1 year ago

Nino L. · Reviewed about 1 year ago

Karthikeyan K. · Reviewed about 1 year ago

Philipe R. · Reviewed about 1 year ago

Jesús Enrique G. · Reviewed about 1 year ago

Hans-Jürgen L. · Reviewed about 1 year ago

Rajat M. · Reviewed about 1 year ago

Pradeep B. · Reviewed about 1 year ago

Sachin S. · Reviewed about 1 year ago

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. · Reviewed about 1 year ago

Jaime G. · Reviewed about 1 year ago

Jarrick H. · Reviewed about 1 year ago

Trupti T. · Reviewed about 1 year ago

Trupti T. · Reviewed about 1 year ago

Karthikeyan K. · Reviewed about 1 year ago

PRADEEPKUMAR A. · Reviewed about 1 year ago

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