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