Creating a Data Transformation Pipeline with Cloud Dataprep Reviews

shivansh s. · Reviewed כמעט 2 שנים ago

Franz Rose F. · Reviewed כמעט 2 שנים ago

Surya P. · Reviewed כמעט 2 שנים ago

James C. · Reviewed כמעט 2 שנים ago

Sohaib A. · Reviewed כמעט 2 שנים ago

great learning

Jaimin D. · Reviewed כמעט 2 שנים ago

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

Ziyad A. · Reviewed כמעט 2 שנים ago

Kuljeet S. · Reviewed כמעט 2 שנים ago

Peter T. · Reviewed כמעט 2 שנים ago

Kaiman S. · Reviewed כמעט 2 שנים ago

Luca T. · Reviewed כמעט 2 שנים ago

Abhijit B. · Reviewed כמעט 2 שנים ago

Dimitrios L. · Reviewed כמעט 2 שנים ago

Alok S. · Reviewed כמעט 2 שנים ago

WEI L. · Reviewed כמעט 2 שנים ago

k225380 A. · Reviewed כמעט 2 שנים ago

Debojyoti S. · Reviewed כמעט 2 שנים ago

Ratika M. · Reviewed כמעט 2 שנים ago

Saurabh P. · Reviewed כמעט 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 כמעט 2 שנים ago

Vivek J. · Reviewed כמעט 2 שנים ago

Toby B. · Reviewed כמעט 2 שנים ago

Manisha D. · Reviewed כמעט 2 שנים ago

Carina F. · Reviewed כמעט 2 שנים ago

Tommy T. · Reviewed כמעט 2 שנים ago