Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

shivansh s. · Reviewed almost 2 years ago

Franz Rose F. · Reviewed almost 2 years ago

Surya P. · Reviewed almost 2 years ago

James C. · Reviewed almost 2 years ago

Sohaib A. · Reviewed almost 2 years ago

great learning

Jaimin D. · Reviewed almost 2 years ago

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

Ziyad A. · Reviewed almost 2 years ago

Kuljeet S. · Reviewed almost 2 years ago

Peter T. · Reviewed almost 2 years ago

Kaiman S. · Reviewed almost 2 years ago

Luca T. · Reviewed almost 2 years ago

Abhijit B. · Reviewed almost 2 years ago

Dimitrios L. · Reviewed almost 2 years ago

Alok S. · Reviewed almost 2 years ago

WEI L. · Reviewed almost 2 years ago

k225380 A. · Reviewed almost 2 years ago

Debojyoti S. · Reviewed almost 2 years ago

Ratika M. · Reviewed almost 2 years ago

Saurabh P. · Reviewed almost 2 years 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 almost 2 years ago

Vivek J. · Reviewed almost 2 years ago

Toby B. · Reviewed almost 2 years ago

Manisha D. · Reviewed almost 2 years ago

Carina F. · Reviewed almost 2 years ago

Tommy T. · Reviewed almost 2 years ago