Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

This was a really nice lab!

Oluwapelumi S. · Reviewed около 1 месяца 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 месяца ago

Alexis V. · Reviewed около 1 месяца ago

Fredrick J. · Reviewed около 1 месяца ago

Tanu G. · Reviewed около 1 месяца ago

Sudhanshu D. · Reviewed около 1 месяца ago

Marius H. · Reviewed около 1 месяца ago

Himanshu A. · Reviewed около 1 месяца ago

璟宏 劉. · Reviewed около 1 месяца ago

Eduardo C. · Reviewed около 1 месяца ago

yetendra K. · Reviewed около 1 месяца ago

栄紀 竹. · Reviewed около 1 месяца ago

Abdurrahman A. · Reviewed около 1 месяца ago

elkana m. · Reviewed около 1 месяца ago

last part for output in dataprep was hard to understand (esp. the workflow/labeling does not fit to the lab

Michael K. · Reviewed около 1 месяца ago

Juan Carlos B. · Reviewed около 1 месяца ago

Avadut K. · Reviewed около 1 месяца ago

Pankaj G. · Reviewed около 1 месяца ago

Prasad I. · Reviewed около 1 месяца ago

sara p. · Reviewed около 1 месяца ago

Priyadeep M. · Reviewed около 1 месяца ago

ARRAMSHETTY S. · Reviewed около 1 месяца ago

sara p. · Reviewed около 1 месяца ago

Amritansh S. · Reviewed около 1 месяца ago

Did everything as proposed, was not able to validate last step several time. Would be nice to have hints why it did not work...

adrien p. · Reviewed около 1 месяца ago