Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Detlev M. · Reviewed yaklaşık 1 yıl ago

翔一 佐. · Reviewed yaklaşık 1 yıl ago

Zari B. · Reviewed yaklaşık 1 yıl ago

Srinivasa G. · Reviewed yaklaşık 1 yıl ago

翔一 佐. · Reviewed yaklaşık 1 yıl ago

Eduardo C. · Reviewed yaklaşık 1 yıl ago

An H. · Reviewed yaklaşık 1 yıl ago

Kuan C. · Reviewed yaklaşık 1 yıl ago

Felipe M. · Reviewed yaklaşık 1 yıl ago

Kuan C. · Reviewed yaklaşık 1 yıl ago

Vedansh C. · Reviewed yaklaşık 1 yıl ago

Sebastian L. · Reviewed yaklaşık 1 yıl ago

Miguel M. · Reviewed yaklaşık 1 yıl ago

Not working

Harsh M. · Reviewed yaklaşık 1 yıl ago

Glenn F. · Reviewed yaklaşık 1 yıl ago

Aaron D. · Reviewed yaklaşık 1 yıl ago

Tuhin R. · Reviewed yaklaşık 1 yıl ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed yaklaşık 1 yıl ago

satisfied

Saran M. · Reviewed yaklaşık 1 yıl ago

Gadi B. · Reviewed yaklaşık 1 yıl ago

Kartik K. · Reviewed yaklaşık 1 yıl ago

This was a really nice lab!

Oluwapelumi S. · Reviewed yaklaşık 1 yıl 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 yaklaşık 1 yıl ago

Alexis V. · Reviewed yaklaşık 1 yıl ago

Fredrick J. · Reviewed yaklaşık 1 yıl ago