ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

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Kunal L. · Reviewed ما يقرب من 7 سنوات ago

Joshua W. · Reviewed ما يقرب من 7 سنوات ago

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Alexandre M. · Reviewed ما يقرب من 7 سنوات ago

shit lab. full of bugs. did it 3 times and cant ever complete. slow spinning up and down of workers. atrocious. and such limited time. and there is issue recognising tasks i have already completed.

Decki K. · Reviewed ما يقرب من 7 سنوات ago

Oren L. · Reviewed ما يقرب من 7 سنوات ago

Ekta R. · Reviewed ما يقرب من 7 سنوات ago

Richard C. · Reviewed ما يقرب من 7 سنوات ago

Google Cloud Shell not working.

Narendra Babu O. · Reviewed ما يقرب من 7 سنوات ago

嘉瑋 姚. · Reviewed ما يقرب من 7 سنوات ago

good

Pooja T. · Reviewed ما يقرب من 7 سنوات ago

Xiangyang S. · Reviewed ما يقرب من 7 سنوات ago

Muhammad F. · Reviewed ما يقرب من 7 سنوات ago

This lab throws around terminology via the python script names like transformation, enrichment, and mart, but really things like transformation and enrichment would be separate steps from ingestion and not combined into one step. Also, some of the documentation in the lab is erroneous. For example in Step 6, it says in the step you will "Ingest the files from GCS" but that is not true -- Steps 6 uses data only from BigQuery and not from GCS. Furthermore, when you look at the resulting data from the last step, the process has replaced things like City with the customer name, so the example code is flawed. Finally, there is no architecture or data flow diagram -- no visual representation of what is going on; and also no mention of what Apache Beam is and how it relates to DataFlow. Finally, ETL is an outdated legacy term. Big Data uses other concepts and follows a different model than ETL.

Luther M. · Reviewed ما يقرب من 7 سنوات ago

Lab worked but some of the steps take an incredible amount of time if you sit and wait for them to complete on the CLI. Also "read the code" isn't a great explanation of each step. Each step feels like it was simply cut/pasted 5 times.

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