关于“Serverless Data Processing with Dataflow - Batch Analytics Pipelines with Dataflow (Java)”的评价

Gabriela O. · 评论over 2 years之前

too much problems with the environment, as last labs. (provisioning, versions, loose explanations....)

jorge m. · 评论over 2 years之前

Joaquín T. · 评论over 2 years之前

Julio N. · 评论over 2 years之前

Shivangi B. · 评论over 2 years之前

Dhanushya R. · 评论over 2 years之前

Vishal G. · 评论over 2 years之前

following all the steps and using the code in the solutions and the dataflow jobs are failling no matter what.

Cristian J. · 评论over 2 years之前

Sai Chandana K. · 评论over 2 years之前

Subhankar D. · 评论over 2 years之前

haithem c. · 评论over 2 years之前

Michal M. · 评论over 2 years之前

Igor P. · 评论over 2 years之前

Mayank K. · 评论over 2 years之前

Lucas R. · 评论over 2 years之前

Yago C. · 评论over 2 years之前

I did not learn much from this as I do not know Java and I CANT COMPETE LAB!!!! Why force the user to do the same tasks in different languages? The labs should require completing either Python or Java, not both ----------------- CANT COMPETE LAB!!!! Task 4. Run your pipeline FAILED Dataflow - Job logs.... 2023-06-13 08:04:05.810 CST Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED: Instance 'batch-user-traffic-pipeli-06130703-0p0h-harness-sqff' creation failed: The zone 'projects/qwiklabs-gcp-02-cb91779277e9/zones/us-central1-b' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

Don M. · 评论over 2 years之前

david g. · 评论over 2 years之前

Filipe P. · 评论over 2 years之前

Gaurav S. · 评论over 2 years之前

MARLENE AITZA M. · 评论over 2 years之前

Diego G. · 评论over 2 years之前

Tamás P. · 评论over 2 years之前

Lakshmi Narayana Reddy P. · 评论over 2 years之前

PRATHIKSHA A. · 评论over 2 years之前