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

Superb

Gerry P. · Reviewed over 6 years ago

syamsul h. · Reviewed over 6 years ago

Muhammad Herwindra B. · Reviewed over 6 years ago

Iván F. · Reviewed over 6 years ago

Muhammad R. · Reviewed over 6 years ago

Ang Y. · Reviewed over 6 years ago

Rasis Syauqi B. · Reviewed over 6 years ago

Rasis Syauqi B. · Reviewed over 6 years ago

jit o. · Reviewed over 6 years ago

Dilano Satria G. · Reviewed over 6 years ago

Jose Mari P. · Reviewed over 6 years ago

Linh D. · Reviewed over 6 years ago

ams m. · Reviewed over 6 years ago

Aris P. · Reviewed over 6 years 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 over 6 years ago

Matias R. · Reviewed over 6 years ago

syamsul h. · Reviewed over 6 years ago

Maheshwaran G. · Reviewed over 6 years ago

Hằng N. · Reviewed over 6 years ago

syamsul h. · Reviewed over 6 years ago

Hằng N. · Reviewed over 6 years ago

Ying Xue N. · Reviewed over 6 years ago

Aditya E. · Reviewed over 6 years 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 over 6 years ago

Rahma A. · Reviewed over 6 years ago