Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

shivansh s. · Reviewed מעל 2 שנים ago

Franz Rose F. · Reviewed מעל 2 שנים ago

Surya P. · Reviewed מעל 2 שנים ago

James C. · Reviewed מעל 2 שנים ago

Sohaib A. · Reviewed מעל 2 שנים ago

great learning

Jaimin D. · Reviewed מעל 2 שנים ago

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

Ziyad A. · Reviewed מעל 2 שנים ago

Kuljeet S. · Reviewed מעל 2 שנים ago

Peter T. · Reviewed מעל 2 שנים ago

Kaiman S. · Reviewed מעל 2 שנים ago

Luca T. · Reviewed מעל 2 שנים ago

Abhijit B. · Reviewed מעל 2 שנים ago

Dimitrios L. · Reviewed מעל 2 שנים ago

Alok S. · Reviewed מעל 2 שנים ago

WEI L. · Reviewed מעל 2 שנים ago

k225380 A. · Reviewed מעל 2 שנים ago

Debojyoti S. · Reviewed מעל 2 שנים ago

Ratika M. · Reviewed מעל 2 שנים ago

Saurabh P. · Reviewed מעל 2 שנים 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 מעל 2 שנים ago

Vivek J. · Reviewed מעל 2 שנים ago

Toby B. · Reviewed מעל 2 שנים ago

Manisha D. · Reviewed מעל 2 שנים ago

Carina F. · Reviewed מעל 2 שנים ago

Tommy T. · Reviewed מעל 2 שנים ago