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

syamsul h. · Reviewed больше 6 лет ago

Muhammad Herwindra B. · Reviewed больше 6 лет ago

Iván F. · Reviewed больше 6 лет ago

Muhammad R. · Reviewed больше 6 лет ago

Ang Y. · Reviewed больше 6 лет ago

Rasis Syauqi B. · Reviewed больше 6 лет ago

Rasis Syauqi B. · Reviewed больше 6 лет ago

jit o. · Reviewed больше 6 лет ago

Dilano Satria G. · Reviewed больше 6 лет ago

Jose Mari P. · Reviewed больше 6 лет ago

Linh D. · Reviewed больше 6 лет ago

ams m. · Reviewed больше 6 лет ago

Aris P. · Reviewed больше 6 лет ago

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

wei sheng p. · Reviewed больше 6 лет ago

Matias R. · Reviewed больше 6 лет ago

syamsul h. · Reviewed больше 6 лет ago

Maheshwaran G. · Reviewed больше 6 лет ago

Hằng N. · Reviewed больше 6 лет ago

syamsul h. · Reviewed больше 6 лет ago

Hằng N. · Reviewed больше 6 лет ago

Ying Xue N. · Reviewed больше 6 лет ago

Aditya E. · Reviewed больше 6 лет ago

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. · Reviewed больше 6 лет ago

Rahma A. · Reviewed больше 6 лет ago

Trang T. · Reviewed больше 6 лет ago