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

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. · 已于 over 4 years前审核

Ashish .. · 已于 over 4 years前审核

Scott Z. · 已于 over 4 years前审核

Kisu K. · 已于 over 4 years前审核

Victor G. · 已于 over 4 years前审核

sandeep k. · 已于 over 4 years前审核

Yu-Hsuan S. · 已于 over 4 years前审核

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

Namandeep S. · 已于 over 4 years前审核

Namandeep S. · 已于 over 4 years前审核

Ashish .. · 已于 over 4 years前审核

Krishna T. · 已于 over 4 years前审核

Ashish .. · 已于 over 4 years前审核

Naveen R. · 已于 over 4 years前审核

Yuntae H. · 已于 over 4 years前审核

Sumanta P. · 已于 over 4 years前审核

Grzegorz O. · 已于 over 4 years前审核

PAVANI K. · 已于 over 4 years前审核

Dipshikha C. · 已于 over 4 years前审核

time is not sufficient

S T. · 已于 over 4 years前审核

Shatha J. · 已于 over 4 years前审核

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. · 已于 over 4 years前审核

GOOD

Bipradip C. · 已于 over 4 years前审核

MOHIT B. · 已于 over 4 years前审核

Vidit J. · 已于 over 4 years前审核

Mario R. · 已于 over 4 years前审核