Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

An H. · Reviewed about 1 month ago

Kuan C. · Reviewed about 1 month ago

Felipe M. · Reviewed about 1 month ago

Kuan C. · Reviewed about 1 month ago

Vedansh C. · Reviewed about 1 month ago

Sebastian L. · Reviewed about 1 month ago

Miguel M. · Reviewed about 1 month ago

Not working

Harsh M. · Reviewed about 1 month ago

Glenn F. · Reviewed about 1 month ago

Aaron D. · Reviewed about 1 month ago

Tuhin R. · Reviewed about 1 month ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed about 1 month ago

satisfied

Saran M. · Reviewed about 1 month ago

Gadi B. · Reviewed about 1 month ago

Kartik K. · Reviewed about 1 month ago

This was a really nice lab!

Oluwapelumi S. · Reviewed about 1 month 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 about 1 month ago

Alexis V. · Reviewed about 1 month ago

Fredrick J. · Reviewed about 1 month ago

Tanu G. · Reviewed about 1 month ago

Sudhanshu D. · Reviewed about 1 month ago

Marius H. · Reviewed about 1 month ago

Himanshu A. · Reviewed about 1 month ago

璟宏 劉. · Reviewed about 1 month ago

Eduardo C. · Reviewed about 1 month ago