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

7288 reviews

Hardikkumar C. · Reviewed 8 months ago

Bartosz S. · Reviewed 8 months ago

Sachin P. · Reviewed 8 months ago

Jupterlab terminal would not open

Gabriel E. · Reviewed 8 months ago

Mamihasina R. · Reviewed 8 months ago

Vicky S. · Reviewed 8 months ago

Carlos T. · Reviewed 8 months ago

Abhilash J. · Reviewed 8 months ago

Patricio M. · Reviewed 8 months ago

Matas S. · Reviewed 8 months ago

David M. · Reviewed 8 months ago

Andrew F. · Reviewed 8 months ago

David L. · Reviewed 8 months ago

unfinished

R G. · Reviewed 8 months ago

Ishita J. · Reviewed 8 months ago

JupyterLab Terminal is not starting and does not allow any input.

Matas S. · Reviewed 8 months ago

Gaius G D. · Reviewed 8 months ago

This python Dataflow ETL lab was better explained than the Java lab. The lab can still better explain how the various components come together and link to one another

Kaiquan M. · Reviewed 8 months ago

It's hard to convey how irritating it is to get instructions like those shown at the bottom of my comments in a Google lab. The only thing comparable is Skillable's Challenge Labs, where they tell you up front that pithy instructions will be provided. Kindly remake this lab, and follow the tried and true format for Google labs by providing explicit instructions for those of us who are performing tasks for the first time. "Task 2. Read data from your source If you get stuck in this or later sections, you can refer to the solution."

Mark I. · Reviewed 8 months ago

Trupti C. · Reviewed 8 months ago

terminal is not working.

Trilokee Nath P. · Reviewed 8 months ago

ABRAHAM A. · Reviewed 8 months ago

Seyi A. · Reviewed 8 months ago

I wish this was the first lab when dataflow and beam was introduced

Bianca S. · Reviewed 8 months ago

good lab

MARCIO V. · Reviewed 8 months ago

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