关于“Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)”的评价

Patrick d. · 评论over 2 years之前

Mariela I. · 评论over 2 years之前

Mariela I. · 评论over 2 years之前

Ike D. · 评论over 2 years之前

Lot of time taken to build the resources, this consumes the lab time Since some people are new to java, the lab time is not enough to fully understand and complete the lab Sometimes the screen is stuck and we dont know what is happening

Indu N. · 评论over 2 years之前

Théo B. · 评论over 2 years之前

Ashwinkumar H. · 评论over 2 years之前

Boby P. · 评论over 2 years之前

Akhila D. · 评论over 2 years之前

Dhoifullah L. · 评论over 2 years之前

Shital S. · 评论over 2 years之前

Mariela I. · 评论over 2 years之前

Susana C. · 评论over 2 years之前

Shengan Z. · 评论over 2 years之前

Juan Jose G. · 评论over 2 years之前

Could you please improve this lab? For the Task 3, after launching the Job, I get the following error message : "Startup of the worker pool in zone us-central1-c 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 'newjob-07260741-u7pv-harness-sq43' creation failed: The zone 'projects/qwiklabs-gcp-01-35447df7c791/zones/us-central1-f' does not have enough resources available to fulfill the request. Try a different zone, or try again later."

Nicolas F. · 评论over 2 years之前

Nacho T. · 评论over 2 years之前

Edildo M. · 评论over 2 years之前

Prashamsa K. · 评论over 2 years之前

Miguel A. · 评论over 2 years之前

Marco U. · 评论over 2 years之前

Shiva sagar K. · 评论over 2 years之前

Gift M. · 评论over 2 years之前

Shiva sagar K. · 评论over 2 years之前

Sagar M. · 评论over 2 years之前