Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Check my progress did not work. I 100% finished all of the task sucessfully.

Jihad A. · Reviewed 1 yıldan fazla ago

Good

Gurumurthi G. · Reviewed 1 yıldan fazla ago

Detlev M. · Reviewed 1 yıldan fazla ago

翔一 佐. · Reviewed 1 yıldan fazla ago

Zari B. · Reviewed 1 yıldan fazla ago

Srinivasa G. · Reviewed 1 yıldan fazla ago

翔一 佐. · Reviewed 1 yıldan fazla ago

Eduardo C. · Reviewed 1 yıldan fazla ago

An H. · Reviewed 1 yıldan fazla ago

Kuan C. · Reviewed 1 yıldan fazla ago

Felipe M. · Reviewed 1 yıldan fazla ago

Kuan C. · Reviewed 1 yıldan fazla ago

Vedansh C. · Reviewed 1 yıldan fazla ago

Sebastian L. · Reviewed 1 yıldan fazla ago

Miguel M. · Reviewed 1 yıldan fazla ago

Not working

Harsh M. · Reviewed 1 yıldan fazla ago

Glenn F. · Reviewed 1 yıldan fazla ago

Aaron D. · Reviewed 1 yıldan fazla ago

Tuhin R. · Reviewed 1 yıldan fazla ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed 1 yıldan fazla ago

satisfied

Saran M. · Reviewed 1 yıldan fazla ago

Gadi B. · Reviewed 1 yıldan fazla ago

Kartik K. · Reviewed 1 yıldan fazla ago

This was a really nice lab!

Oluwapelumi S. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago