Processamento ETL no Google Cloud com o Dataflow e o BigQuery (Python) avaliações

80535 avaliações

Steve T. · Revisado há almost 7 years

Bernd S. · Revisado há almost 7 years

Michael I. · Revisado há almost 7 years

Mark C. · Revisado há almost 7 years

Alexandre M. · Revisado há almost 7 years

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. · Revisado há almost 7 years

Oren L. · Revisado há almost 7 years

Ekta R. · Revisado há almost 7 years

Richard C. · Revisado há almost 7 years

Google Cloud Shell not working.

Narendra Babu O. · Revisado há almost 7 years

嘉瑋 姚. · Revisado há almost 7 years

good

Pooja T. · Revisado há almost 7 years

Xiangyang S. · Revisado há almost 7 years

Muhammad F. · Revisado há almost 7 years

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 Finally, ETL is an outdated legacy term.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. · Revisado há almost 7 years

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.

Jamal M. · Revisado há almost 7 years

Benjamin R. · Revisado há almost 7 years

Debanjan D. · Revisado há almost 7 years

Balaji C. · Revisado há almost 7 years

Matthew W. · Revisado há almost 7 years

Anil Sagar R. · Revisado há almost 7 years

Rendson F. · Revisado há almost 7 years

Vik M. · Revisado há almost 7 years

Pankaj S. · Revisado há almost 7 years

The content is good, but the lab should focus more on the inputs, the transformation and how it is done. To do it properly the student has to reverse engineer the inputs from the code.

Raffaello M. · Revisado há almost 7 years

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