Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

Completed the task but still showing zero progress

shivansh s. · Reviewed 6 أيام ago

Farid Azhar L. · Reviewed 6 أيام ago

Deepak A. · Reviewed 6 أيام ago

shivansh s. · Reviewed 6 أيام ago

Franz Rose F. · Reviewed 6 أيام ago

Surya P. · Reviewed 6 أيام ago

James C. · Reviewed 6 أيام ago

Sohaib A. · Reviewed 6 أيام ago

great learning

Jaimin D. · Reviewed 6 أيام ago

when I need to create new table within same project path was a little confusing

Ziyad A. · Reviewed 6 أيام ago

Kuljeet S. · Reviewed 6 أيام ago

Peter T. · Reviewed 6 أيام ago

Kaiman S. · Reviewed 6 أيام ago

Luca T. · Reviewed 6 أيام ago

Abhijit B. · Reviewed 6 أيام ago

Dimitrios L. · Reviewed 6 أيام ago

Alok S. · Reviewed 6 أيام ago

WEI L. · Reviewed 6 أيام ago

k225380 A. · Reviewed 6 أيام ago

Deboj S. · Reviewed 6 أيام ago

Ratika M. · Reviewed 6 أيام ago

Saurabh P. · Reviewed 6 أيام ago

This walked through steps I'd consider important. It did not build a lot on the "Working with Cloud Dataprep on Google Cloud" which was recommended. Some changes I noted from instructions: Task 1: 4. Click the checkbox and then click Agree and Continue when prompted to share account information with Trifacta. 5. Click Allow to give Trifacta access to your project. 6. Select your Qwiklabs credentials to sign in to Cloud Dataprep by Trifacta 7. Click continue to sign in to Cloud Dataprep by Trifacta 8. Allow Cloud Dataprep by Trifacta to access Cloud Platform projects. 9. Check the box and click Accept to agree to Trifacta terms of service 10. If prompted to use the default location for the storage bucket, click Continue. Task 3: 6. In the Add Data to Library dialog box, select Import Datasets at bottom left

Jeremy L. · Reviewed 6 أيام ago

Vivek J. · Reviewed 6 أيام ago

Toby B. · Reviewed 6 أيام ago