Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Tuhin R. · Reviewed больше 1 года ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed больше 1 года ago

satisfied

Saran M. · Reviewed больше 1 года ago

Gadi B. · Reviewed больше 1 года ago

Kartik K. · Reviewed больше 1 года ago

This was a really nice lab!

Oluwapelumi S. · Reviewed больше 1 года ago

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. · Reviewed больше 1 года ago

Alexis V. · Reviewed больше 1 года ago

Fredrick J. · Reviewed больше 1 года ago

Tanu G. · Reviewed больше 1 года ago

Sudhanshu D. · Reviewed больше 1 года ago

Marius H. · Reviewed больше 1 года ago

Himanshu A. · Reviewed больше 1 года ago

璟宏 劉. · Reviewed больше 1 года ago

Eduardo C. · Reviewed больше 1 года ago

yetendra K. · Reviewed больше 1 года ago

EIKI T. · Reviewed больше 1 года ago

Abdurrahman A. · Reviewed больше 1 года ago

elkana m. · Reviewed больше 1 года ago

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

Michael K. · Reviewed больше 1 года ago

Juan Carlos B. · Reviewed больше 1 года ago

Avadut K. · Reviewed больше 1 года ago

Pankaj G. · Reviewed больше 1 года ago

Prasad I. · Reviewed больше 1 года ago

sara p. · Reviewed больше 1 года ago