Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Ricardo F. · Reviewed over 5 years ago

Miguel P. · Reviewed over 5 years ago

Patricio S. · Reviewed over 5 years ago

Branislav F. · Reviewed over 5 years ago

JOHN ALEX Q. · Reviewed over 5 years ago

lab is not able to identify the BQ output

Manisha S. · Reviewed over 5 years ago

William A. · Reviewed over 5 years ago

Kairika S. · Reviewed over 5 years ago

First time using Dataprep so not happy to be challenged how to save the output in BigQuery to a new dataset without knowing how to do that! I tried to run again and got the following error: "The number of columns in the dataset revenue_reporting must match the destination table. revenue_reporting has 33 columns while the destination table has 32 columns". Need to add the step on how to save the output if you expect us to learn this step without guessing and getting it wrong and wasting an hour on the lab without being able to complete it!!!!!

Robert M. · Reviewed over 5 years ago

Krishna V. · Reviewed over 5 years ago

BIJOY R. · Reviewed over 5 years ago

Williams G. · Reviewed over 5 years ago

Gary L. · Reviewed over 5 years ago

Ana Carolina S. · Reviewed over 5 years ago

Antonio A. · Reviewed over 5 years ago

Diana Miroslava G. · Reviewed over 5 years ago

Great intro to Cloud Data Transforms

Bharat R. · Reviewed over 5 years ago

Good

vimal s. · Reviewed over 5 years ago

Cloud Dataprep redirection in the Trifacta server gets fetched when it is enabled with similar BigQuery API schema that can run with enabled nodes in Trifacta server

Anshuman M. · Reviewed over 5 years ago

Anusha P. · Reviewed over 5 years ago

Supriya P. · Reviewed over 5 years ago

Oriza S. · Reviewed over 5 years ago

Priyanshu Y. · Reviewed over 5 years ago

Daniel S. · Reviewed over 5 years ago

BAEK S. · Reviewed over 5 years ago