关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

评论

mohammaderfan k. · 评论about 1 year之前

Amardeep S. · 评论about 1 year之前

Brian F. · 评论about 1 year之前

Las instrucciones no son claras

Rene N. · 评论about 1 year之前

Jesús Enrique G. · 评论about 1 year之前

Jesús Enrique G. · 评论about 1 year之前

Suphakit S. · 评论about 1 year之前

good

Karthik R. · 评论about 1 year之前

Pradeep B. · 评论about 1 year之前

Kumari S. · 评论about 1 year之前

Nino L. · 评论about 1 year之前

Karthikeyan K. · 评论about 1 year之前

Philipe R. · 评论about 1 year之前

Jesús Enrique G. · 评论about 1 year之前

Hans-Jürgen L. · 评论about 1 year之前

Rajat M. · 评论about 1 year之前

Pradeep B. · 评论about 1 year之前

Sachin S. · 评论about 1 year之前

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. · 评论about 1 year之前

Jaime G. · 评论about 1 year之前

Jarrick H. · 评论about 1 year之前

Trupti T. · 评论about 1 year之前

Trupti T. · 评论about 1 year之前

Karthikeyan K. · 评论about 1 year之前

PRADEEPKUMAR A. · 评论about 1 year之前

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