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

syamsul h. · Revisado há over 6 years

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Aris P. · Revisado há over 6 years

the data processing is slow because of the large amount of data, most of the time we are waiting for the process to finish rather than reading the text. the last step for data lake to mart has quota issue which does not allow us to scale to 4 workers, was stuck at 2

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Aditya E. · Revisado há over 6 years

It's actually line 83 on data_enrichment.py that need edit. Also, this lab needs more time to finish because of multiple dataflow jobs needed to get done in this guide.

Ilhammullah A. · Revisado há over 6 years

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Trang T. · Revisado há over 6 years