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

7383 reviews

some of the steps are not clear specially in coding area

Sweta R. · Reviewed about 2 months ago

Jonathan P. · Reviewed 2 months ago

Sadibou S. · Reviewed 2 months ago

Nur Izzati A. · Reviewed 2 months ago

constantly running out of resources tartup of the worker pool in zone us-east1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED:

Johannes V. · Reviewed 2 months ago

Yaswanth Kumar K. · Reviewed 2 months ago

It was pretty hard to finish this lab, i had issues parsing the json file, the format was not right at first, I don't know what changed but I am pretty sure I got it right the first time but something in the json parser was raising and error. After that I had issues with resources availability. I had to repeat this lab 3 times and depend on luck to finally finish it. It was not a good experience. It was raising errors even after consulting the answer script.

Alexandre Bonfim M. · Reviewed 2 months ago

Horrendous, worst lab ever, literally there were no workers in us-central1 and it destroyed all the pipelines, had to run on us-west1. Not onyl that, all the instructions were really bad

Thales R. · Reviewed 2 months ago

Very badly explained and written

I G. · Reviewed 2 months ago

Agustin E. · Reviewed 2 months ago

Isaac G. · Reviewed 2 months ago

i got stuck and the linked solution was literally just an outline and contained no guidance on the transformation or writing pcollection *|:

brian w. · Reviewed 2 months ago

Chandra M. · Reviewed 2 months ago

jupyther notebook is not reachable

Philip T. · Reviewed 2 months ago

Ashutosh M. · Reviewed 2 months ago

Heejung K. · Reviewed 2 months ago

Unclear instructions regarding the parameters of the job, like the schema and name of the table. Even after copying the code from the solution and running with DirectRunner, the Lab didn't accept the solution.

Eloy E. · Reviewed 2 months ago

Krzysztof S. · Reviewed 2 months ago

Carlos D. · Reviewed 2 months ago

Booker B. · Reviewed 2 months ago

bit more difficult to follow but good

Prashant P. · Reviewed 2 months ago

Martin T. · Reviewed 2 months ago

Jose I. R. · Reviewed 2 months ago

terminal was not working

Vladas V. · Reviewed 2 months ago

Esteban Pedro A. · Reviewed 2 months ago

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