Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Kuan C. · Reviewed almost 2 years ago

Felipe M. · Reviewed almost 2 years ago

Kuan C. · Reviewed almost 2 years ago

Vedansh C. · Reviewed almost 2 years ago

Sebastian L. · Reviewed almost 2 years ago

Miguel M. · Reviewed almost 2 years ago

Not working

Harsh M. · Reviewed almost 2 years ago

Glenn F. · Reviewed almost 2 years ago

Aaron D. · Reviewed almost 2 years ago

Tuhin R. · Reviewed almost 2 years ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed almost 2 years ago

satisfied

Saran M. · Reviewed almost 2 years ago

Gadi B. · Reviewed almost 2 years ago

Kartik K. · Reviewed almost 2 years ago

This was a really nice lab!

Oluwapelumi S. · Reviewed almost 2 years 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 almost 2 years ago

Alexis V. · Reviewed almost 2 years ago

Fredrick J. · Reviewed almost 2 years ago

Tanu G. · Reviewed almost 2 years ago

Sudhanshu D. · Reviewed almost 2 years ago

Marius H. · Reviewed almost 2 years ago

Himanshu A. · Reviewed almost 2 years ago

璟宏 劉. · Reviewed almost 2 years ago

Eduardo C. · Reviewed almost 2 years ago

yetendra K. · Reviewed almost 2 years ago