Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Detlev M. · Reviewed около 1 года ago

翔一 佐. · Reviewed около 1 года ago

Zari B. · Reviewed около 1 года ago

Srinivasa G. · Reviewed около 1 года ago

翔一 佐. · Reviewed около 1 года ago

Eduardo C. · Reviewed около 1 года ago

An H. · Reviewed около 1 года ago

Kuan C. · Reviewed около 1 года ago

Felipe M. · Reviewed около 1 года ago

Kuan C. · Reviewed около 1 года ago

Vedansh C. · Reviewed около 1 года ago

Sebastian L. · Reviewed около 1 года ago

Miguel M. · Reviewed около 1 года ago

Not working

Harsh M. · Reviewed около 1 года ago

Glenn F. · Reviewed около 1 года ago

Aaron D. · Reviewed около 1 года ago

Tuhin R. · Reviewed около 1 года ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed около 1 года ago

satisfied

Saran M. · Reviewed около 1 года ago

Gadi B. · Reviewed около 1 года ago

Kartik K. · Reviewed около 1 года ago

This was a really nice lab!

Oluwapelumi S. · Reviewed около 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 около 1 года ago

Alexis V. · Reviewed около 1 года ago

Fredrick J. · Reviewed около 1 года ago