关于“Serverless Data Processing with Dataflow - Using Dataflow for Streaming Analytics (Python)”的评价

5575 条评价

Ranjithkumar R. · 已于 10 months前审核

Everytime I attempted to run the Pipeline it would fail with amessage about "ZONE_RESOURCE_POOL_EXHAUSTED:". I started the JupyterLab instance on the zone specified in the instructions, however, the pipeline would choose a different zone (the same one each time I tried). I could not find any way to specify a different zone.

Charles C. · 已于 10 months前审核

Benjamin G. · 已于 10 months前审核

Marina Esther C. · 已于 10 months前审核

Bhavya Sai Sree K. · 已于 10 months前审核

Codrin C. · 已于 10 months前审核

Yogesh T. · 已于 10 months前审核

Srinidhi S. · 已于 10 months前审核

Not very interesting and Looker Studio portion could not be run as it said that the account had used its trial period (note that I was connected to the student lab account.à

Erik O. · 已于 10 months前审核

Tim A. · 已于 10 months前审核

Joseph W. · 已于 10 months前审核

Danilo G. · 已于 10 months前审核

good

Stalin K. · 已于 10 months前审核

Tharun Reddy R. · 已于 10 months前审核

Vijay A. · 已于 10 months前审核

Resources unavailable to complete lab: "'us-east1-c' does not have enough resources available to fulfill the request. Try a different zone, or try again later"

Jason D. · 已于 10 months前审核

Marco B. · 已于 10 months前审核

Konstantin O. · 已于 10 months前审核

Luan T. · 已于 10 months前审核

Franklin C. · 已于 10 months前审核

Endang Ruchyadi .. · 已于 10 months前审核

Parimala J. · 已于 10 months前审核

Sunil S. · 已于 10 months前审核

These labs are okay, they feel outdated though. Also, it feels like they can't decide if they want to teach you beam or how to set-up beam in Google Cloud. I like both, but I would rather learn Google Cloud here and then beam elsewhere.

Kyle S. · 已于 10 months前审核

Suganthi K. · 已于 10 months前审核

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