Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

shivansh s. · Reviewed почти 2 лет ago

Franz Rose F. · Reviewed почти 2 лет ago

Surya P. · Reviewed почти 2 лет ago

James C. · Reviewed почти 2 лет ago

Sohaib A. · Reviewed почти 2 лет ago

great learning

Jaimin D. · Reviewed почти 2 лет ago

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

Ziyad A. · Reviewed почти 2 лет ago

Kuljeet S. · Reviewed почти 2 лет ago

Peter T. · Reviewed почти 2 лет ago

Kaiman S. · Reviewed почти 2 лет ago

Luca T. · Reviewed почти 2 лет ago

Abhijit B. · Reviewed почти 2 лет ago

Dimitrios L. · Reviewed почти 2 лет ago

Alok S. · Reviewed почти 2 лет ago

WEI L. · Reviewed почти 2 лет ago

k225380 A. · Reviewed почти 2 лет ago

Debojyoti S. · Reviewed почти 2 лет ago

Ratika M. · Reviewed почти 2 лет ago

Saurabh P. · Reviewed почти 2 лет 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 почти 2 лет ago

Vivek J. · Reviewed почти 2 лет ago

Toby B. · Reviewed почти 2 лет ago

Manisha D. · Reviewed почти 2 лет ago

Carina F. · Reviewed почти 2 лет ago

Tommy T. · Reviewed почти 2 лет ago