Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Kuan C. · Reviewed почти 2 лет ago

Felipe M. · Reviewed почти 2 лет ago

Kuan C. · Reviewed почти 2 лет ago

Vedansh C. · Reviewed почти 2 лет ago

Sebastian L. · Reviewed почти 2 лет ago

Miguel M. · Reviewed почти 2 лет ago

Not working

Harsh M. · Reviewed почти 2 лет ago

Glenn F. · Reviewed почти 2 лет ago

Aaron D. · Reviewed почти 2 лет ago

Tuhin R. · Reviewed почти 2 лет ago

Could not complete the lab because verification was not working.

Roel T. · Reviewed почти 2 лет ago

satisfied

Saran M. · Reviewed почти 2 лет ago

Gadi B. · Reviewed почти 2 лет ago

Kartik K. · Reviewed почти 2 лет ago

This was a really nice lab!

Oluwapelumi S. · Reviewed почти 2 лет 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 почти 2 лет ago

Alexis V. · Reviewed почти 2 лет ago

Fredrick J. · Reviewed почти 2 лет ago

Tanu G. · Reviewed почти 2 лет ago

Sudhanshu D. · Reviewed почти 2 лет ago

Marius H. · Reviewed почти 2 лет ago

Himanshu A. · Reviewed почти 2 лет ago

璟宏 劉. · Reviewed почти 2 лет ago

Eduardo C. · Reviewed почти 2 лет ago

yetendra K. · Reviewed почти 2 лет ago