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

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

评论

Sofía C. · 评论21 days之前

RAUL C. · 评论21 days之前

Mykola M. · 评论21 days之前

RAUL C. · 评论22 days之前

RAUL C. · 评论22 days之前

Marife M. · 评论22 days之前

Trung N. · 评论22 days之前

Kim Fong L. · 评论23 days之前

This one was challenging

Kelby G. · 评论23 days之前

Deepnita M. · 评论23 days之前

Jim M. · 评论24 days之前

Roy M. · 评论24 days之前

Roy M. · 评论24 days之前

this lab its so confusing and horrible

TRIANA C. · 评论25 days之前

vinodh r. · 评论26 days之前

Luis D. · 评论26 days之前

Luis D. · 评论26 days之前

Jorge M. · 评论26 days之前

Brian M. · 评论26 days之前

mahesh m. · 评论27 days之前

student_02_9dde38410ad0@cloudshell:~$ export BUCKET=$GOOGLE_CLOUD_PROJECT gcloud storage buckets create gs://$BUCKET ERROR: (gcloud.storage.buckets.create) "gcloud storage buckets create" only accepts bucket URLs. Example: "gs://bucket" Received: "gs://" student_02_9dde38410ad0@cloudshell:~$ gcloud storage cp gs://cloud-training/OCBL163/titanic.csv gs://$BUCKET ERROR: (gcloud.storage.cp) The cp command does not support provider-only destination URLs. student_02_9dde38410ad0@cloudshell:~$

Aysun A. · 评论27 days之前

Anderson P. · 评论27 days之前

Sebi J. · 评论27 days之前

need some back and forth to check that the instructions have correctly been implemented, but at the end the pipeline works. Always impressed

Alexandre W. · 评论28 days之前

RICARDO B. · 评论28 days之前

我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。