关于“使用 Dataflow 和 BigQuery (Python) 在 Google Cloud 上进行 ETL 处理”的评价

syamsul h. · 已于 over 6 years前审核

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Aris P. · 已于 over 6 years前审核

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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syamsul h. · 已于 over 6 years前审核

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Ying Xue N. · 已于 over 6 years前审核

Aditya E. · 已于 over 6 years前审核

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. · 已于 over 6 years前审核

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