关于“使用 Cloud Dataprep 创建数据转换流水线”的评价

This was a really nice lab!

Oluwapelumi S. · 已于 about 1 month前审核

I didn't like the naming of the columns as both camelCase and snake_case was used. Cleaning up the column names should be part of a data cleaning pipeline. Also hard coding the categorical values using a CASE statement is not best practice. Better to create a mapping table and join data.

Malte B. · 已于 about 1 month前审核

Alexis V. · 已于 about 1 month前审核

Fredrick J. · 已于 about 1 month前审核

Tanu G. · 已于 about 1 month前审核

Sudhanshu D. · 已于 about 1 month前审核

Marius H. · 已于 about 1 month前审核

Himanshu A. · 已于 about 1 month前审核

璟宏 劉. · 已于 about 1 month前审核

Eduardo C. · 已于 about 1 month前审核

yetendra K. · 已于 about 1 month前审核

栄紀 竹. · 已于 about 1 month前审核

Abdurrahman A. · 已于 about 1 month前审核

elkana m. · 已于 about 1 month前审核

last part for output in dataprep was hard to understand (esp. the workflow/labeling does not fit to the lab

Michael K. · 已于 about 1 month前审核

Juan Carlos B. · 已于 about 1 month前审核

Avadut K. · 已于 about 1 month前审核

Pankaj G. · 已于 about 1 month前审核

Prasad I. · 已于 about 1 month前审核

sara p. · 已于 about 1 month前审核

Priyadeep M. · 已于 about 1 month前审核

ARRAMSHETTY S. · 已于 about 1 month前审核

sara p. · 已于 about 1 month前审核

Amritansh S. · 已于 about 1 month前审核

Did everything as proposed, was not able to validate last step several time. Would be nice to have hints why it did not work...

adrien p. · 已于 about 1 month前审核