关于“Creating a Data Transformation Pipeline with Cloud Dataprep”的评价

关于“Creating a Data Transformation Pipeline with Cloud Dataprep”的评价

评论

Kuljeet S. · 评论4 days之前

Peter T. · 评论4 days之前

Kaiman S. · 评论4 days之前

Luca T. · 评论4 days之前

Abhijit B. · 评论4 days之前

Dimitrios L. · 评论4 days之前

Alok S. · 评论4 days之前

WEI L. · 评论4 days之前

k225380 A. · 评论4 days之前

Deboj S. · 评论4 days之前

Ratika M. · 评论4 days之前

Saurabh P. · 评论4 days之前

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. · 评论4 days之前

Vivek J. · 评论4 days之前

Toby B. · 评论5 days之前

Manisha D. · 评论5 days之前

Carina F. · 评论5 days之前

Tommy T. · 评论5 days之前

Gabriel M. · 评论5 days之前

Vladimir M. · 评论5 days之前

Gustavo H. · 评论5 days之前

IMPORTANT: Unlock ProductSKU in the first setp. If not, check will not validate it

Victor T. · 评论5 days之前

Vladimir M. · 评论5 days之前

Followed the steps and run the job OK. Why this is not checking it OK ???

Victor T. · 评论5 days之前

Great lab for understanding

AliAhmed S. · 评论5 days之前

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