Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Ricardo F. · Reviewed больше 5 лет ago

Miguel P. · Reviewed больше 5 лет ago

Patricio S. · Reviewed больше 5 лет ago

Branislav F. · Reviewed больше 5 лет ago

JOHN ALEX Q. · Reviewed больше 5 лет ago

lab is not able to identify the BQ output

Manisha S. · Reviewed больше 5 лет ago

William A. · Reviewed больше 5 лет ago

Kairika S. · Reviewed больше 5 лет 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 больше 5 лет ago

Krishna V. · Reviewed больше 5 лет ago

BIJOY R. · Reviewed больше 5 лет ago

Williams G. · Reviewed больше 5 лет ago

Gary L. · Reviewed больше 5 лет ago

Ana Carolina S. · Reviewed больше 5 лет ago

Antonio A. · Reviewed больше 5 лет ago

Diana Miroslava G. · Reviewed больше 5 лет ago

Great intro to Cloud Data Transforms

Bharat R. · Reviewed больше 5 лет ago

Good

vimal s. · Reviewed больше 5 лет 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 больше 5 лет ago

Anusha P. · Reviewed больше 5 лет ago

Supriya P. · Reviewed больше 5 лет ago

Oriza S. · Reviewed больше 5 лет ago

Priyanshu Y. · Reviewed больше 5 лет ago

Daniel S. · Reviewed больше 5 лет ago

BAEK S. · Reviewed больше 5 лет ago