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

This was a really nice lab!

Oluwapelumi S. · 评论about 1 month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about 1 month之前

Alexis V. · 评论about 1 month之前

Fredrick J. · 评论about 1 month之前

Tanu G. · 评论about 1 month之前

Sudhanshu D. · 评论about 1 month之前

Marius H. · 评论about 1 month之前

Himanshu A. · 评论about 1 month之前

璟宏 劉. · 评论about 1 month之前

Eduardo C. · 评论about 1 month之前

yetendra K. · 评论about 1 month之前

栄紀 竹. · 评论about 1 month之前

Abdurrahman A. · 评论about 1 month之前

elkana m. · 评论about 1 month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about 1 month之前

Juan Carlos B. · 评论about 1 month之前

Avadut K. · 评论about 1 month之前

Pankaj G. · 评论about 1 month之前

Prasad I. · 评论about 1 month之前

sara p. · 评论about 1 month之前

Priyadeep M. · 评论about 1 month之前

ARRAMSHETTY S. · 评论about 1 month之前

sara p. · 评论about 1 month之前

Amritansh S. · 评论about 1 month之前

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. · 评论about 1 month之前