Como criar um pipeline de transformação de dados com o Cloud Dataprep avaliações

Ricardo F. · Revisado há over 5 years

Miguel P. · Revisado há over 5 years

Patricio S. · Revisado há over 5 years

Branislav F. · Revisado há over 5 years

JOHN ALEX Q. · Revisado há over 5 years

lab is not able to identify the BQ output

Manisha S. · Revisado há over 5 years

William A. · Revisado há over 5 years

Kairika S. · Revisado há over 5 years

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. · Revisado há over 5 years

Krishna V. · Revisado há over 5 years

BIJOY R. · Revisado há over 5 years

Williams G. · Revisado há over 5 years

Gary L. · Revisado há over 5 years

Ana Carolina S. · Revisado há over 5 years

Antonio A. · Revisado há over 5 years

Diana Miroslava G. · Revisado há over 5 years

Great intro to Cloud Data Transforms

Bharat R. · Revisado há over 5 years

Good

vimal s. · Revisado há over 5 years

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. · Revisado há over 5 years

Anusha P. · Revisado há over 5 years

Supriya P. · Revisado há over 5 years

Oriza S. · Revisado há over 5 years

Priyanshu Y. · Revisado há over 5 years

Daniel S. · Revisado há over 5 years

BAEK S. · Revisado há over 5 years