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 Finally, ETL is an outdated legacy term.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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