Como criar um pipeline de transformação de dados com o Cloud Dataprep avaliações

Tuhin R. · Revisado há over 1 year

Could not complete the lab because verification was not working.

Roel T. · Revisado há over 1 year

satisfied

Saran M. · Revisado há over 1 year

Gadi B. · Revisado há over 1 year

Kartik K. · Revisado há over 1 year

This was a really nice lab!

Oluwapelumi S. · Revisado há over 1 year

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. · Revisado há over 1 year

Alexis V. · Revisado há over 1 year

Fredrick J. · Revisado há over 1 year

Tanu G. · Revisado há over 1 year

Sudhanshu D. · Revisado há over 1 year

Marius H. · Revisado há over 1 year

Himanshu A. · Revisado há over 1 year

璟宏 劉. · Revisado há over 1 year

Eduardo C. · Revisado há over 1 year

yetendra K. · Revisado há over 1 year

EIKI T. · Revisado há over 1 year

Abdurrahman A. · Revisado há over 1 year

elkana m. · Revisado há over 1 year

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

Michael K. · Revisado há over 1 year

Juan Carlos B. · Revisado há over 1 year

Avadut K. · Revisado há over 1 year

Pankaj G. · Revisado há over 1 year

Prasad I. · Revisado há over 1 year

sara p. · Revisado há over 1 year