Creating a Data Transformation Pipeline with Cloud Dataprep Reviews
73805 reviews
Zari B. · Reviewed about 1 month ago
Srinivasa G. · Reviewed about 1 month ago
翔一 佐. · Reviewed about 1 month ago
Eduardo C. · Reviewed about 1 month ago
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
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.