关于“使用 Cloud Dataprep 建立資料轉換 pipeline”的评价

Tuhin R. · 评论over 1 year之前

Could not complete the lab because verification was not working.

Roel T. · 评论over 1 year之前

satisfied

Saran M. · 评论over 1 year之前

Gadi B. · 评论over 1 year之前

Kartik K. · 评论over 1 year之前

This was a really nice lab!

Oluwapelumi S. · 评论over 1 year之前

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. · 评论over 1 year之前

Alexis V. · 评论over 1 year之前

Fredrick J. · 评论over 1 year之前

Tanu G. · 评论over 1 year之前

Sudhanshu D. · 评论over 1 year之前

Marius H. · 评论over 1 year之前

Himanshu A. · 评论over 1 year之前

璟宏 劉. · 评论over 1 year之前

Eduardo C. · 评论over 1 year之前

yetendra K. · 评论over 1 year之前

EIKI T. · 评论over 1 year之前

Abdurrahman A. · 评论over 1 year之前

elkana m. · 评论over 1 year之前

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

Michael K. · 评论over 1 year之前

Juan Carlos B. · 评论over 1 year之前

Avadut K. · 评论over 1 year之前

Pankaj G. · 评论over 1 year之前

Prasad I. · 评论over 1 year之前

sara p. · 评论over 1 year之前