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

This lab was very misleading. The title was filled with promise but it failed to deliver. This lab should have been split into 2-3. Walking through the Python code to feed into the Dataflow API to conduct ETL and load into Big Query. Instead, this was just a bunch of sitting and waiting for similar jobs to be performed. Rather, this lab should have gone through a single job and the Python code to prepare the user for actually using these tools from scratch.

Michael S. · Revisado há over 4 years

Ashish .. · Revisado há over 4 years

Scott Z. · Revisado há over 4 years

Kisu K. · Revisado há over 4 years

Victor G. · Revisado há over 4 years

sandeep k. · Revisado há over 4 years

Yu-Hsuan S. · Revisado há over 4 years

The time is very limited because easy dataflow job takes a lot of time to succeed.

Namandeep S. · Revisado há over 4 years

Namandeep S. · Revisado há over 4 years

Ashish .. · Revisado há over 4 years

Krishna T. · Revisado há over 4 years

Ashish .. · Revisado há over 4 years

Naveen R. · Revisado há over 4 years

Yuntae H. · Revisado há over 4 years

Sumanta P. · Revisado há over 4 years

Grzegorz O. · Revisado há over 4 years

PAVANI K. · Revisado há over 4 years

Dipshikha C. · Revisado há over 4 years

time is not sufficient

S T. · Revisado há over 4 years

Shatha J. · Revisado há over 4 years

DataflowのJob起動までに5分超時間がかかるのでソースコードの確認をしているとラボの時間ギリギリまでかかってしまいます。 bqにベースのデータソースを作る部分は並列に実行してもいいように思います。

Keishi S. · Revisado há over 4 years

GOOD

Bipradip C. · Revisado há over 4 years

MOHIT B. · Revisado há over 4 years

Vidit J. · Revisado há over 4 years

Mario R. · Revisado há over 4 years