关于“Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion”的评价

Longyin z. · 评论about 1 hour之前

Bhagavan Reddy E. · 评论about 12 hours之前

Aishwarya R. · 评论2 days之前

Gurusam N. · 评论3 days之前

Ariff K. · 评论5 days之前

Laurent L. · 评论6 days之前

This lab made me start researching Azure as an alternative. The instructions say "In the Google Cloud console, from the Navigation menu select Data Fusion > Instances.". Data Fusion does not exist in the navigation menu. The tutorial does not explain how to find it if it is not already pinned. The instructions say "Creation of the instance takes around 10 minutes. Please wait for it to be ready." However, the instructions do not explain how to initiate the creation of an instance? Do you need to initiate the creation of one, or does it initiate itself? If you need to initiate the instance creation, the instructions don't explain how to set required parameters correctly while creating the instance. If it's necessary to create one, the default location for the instance violated a constraint. The instructions did not explain how to resolve this violation.

Kurtis C. · 评论6 days之前

Alfie F. · 评论6 days之前

Anthony P. · 评论7 days之前

Mohammed Arfaz M. · 评论8 days之前

Super dissatisfied! at the end i couldnt connect the Big Query node (not even another) to the Wrangler, i dont know why i think it was a glitch and i couldnt deploy the pipeline.!

Mohammad S. · 评论8 days之前

Nguyen Duc Dung H. · 评论8 days之前

Daniele M. · 评论8 days之前

Great

Thu L. · 评论9 days之前

very good insights about wrangler

Vaman T. · 评论9 days之前

Srikanth B. · 评论10 days之前

peng z. · 评论10 days之前

MANUEL . C. · 评论11 days之前

Shreyas J. · 评论11 days之前

Soyoun M. · 评论12 days之前

Daniel L. · 评论12 days之前

Karina S. · 评论13 days之前

Ginna S. · 评论13 days之前

JIMMY . R. · 评论14 days之前

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Jorge S. · 评论14 days之前